Data Science related faculty from UD and affiliated institutions.
Blue and Gold Distinguished Professor, Geography & Spatial Sciences and Biden School of Public Policy & Administration
environmental planning, applied geography, international environmental policy, extractive industries and society, mineral governance
Saleem H. Ali’s research interface with the Data Science Institute involves using data for improving science diplomacy between countries as well as between corporations and communities. As a member of the United Nations International Resource Panel, he has worked with geoscience data and metrics of resource efficiency across the mineral supply chain. His research also considers how qualitative data can be more effectively used in concert with quantitative data in community communication to mitigate conflicts. Professor Ali received his doctorate in environmental planning from MIT, Masters in Environmental Studies from Yale University and a Bachelors in Chemistry and Environmental Studies from Tufts University (summa cum laude).
Charles Black Evans Professor and JPMorgan Chase Faculty Fellow, Electrical and Computer Engineering
Data Science, Graph Signal Processing, Computation Imaging
Dr. Gonzalo Arce’s fields of interest include computational imaging and spectroscopy, signal processing, and data science. His active fields of research are: compressive sensing, sparse signal representation, computational imaging, computational lithography, and graph signal processing. He is the Charles Black Evans Professor of Electrical and Computer Engineering and the JPMorgan Chase Faculty Fellow at the Institute of Financial Services Analytics. He is a Fellow of the IEEE. He holds over fifteen US and international patents. His research has been funded by over 20Million USD by DoD and Industry sponsors.
Assistant Professor, School of Education
mathematical cognition; mathematics attitudes; mathematics learning; algebra learning; mathematics instruction
Dr. Christina Areizaga Barbieri is an Assistant Professor at University of Delaware’s School of Education within the Educational Statistics and Research Methods Ph.D program and the Learning Sciences specializations. Dr. Barbieri’s research program is situated within the field of mathematical cognition. Specifically, her work focuses on applying and evaluating the effectiveness of instructional strategies and materials based on principles of learning from cognitive and learning sciences on improving mathematical competencies. Dr. Barbieri also considers the development of positive mathematics and beliefs within the classroom and their role in learning. Born and raised Latina in New York, Dr. Barbieri is particularly concerned with mathematics instruction and learning opportunities in school settings that serve primarily BIPOC students as well as how variations in these opportunities may impact math attitudes and beliefs.
Charles Black Evans Prof. & Chair, Electrical and Computer Engineering
Signal processing, machine learning
Kenneth E. Barner is the Charles Black Evans Professor of Electrical Engineering and chair of the Department of Electrical and Computer Engineering. His research interests include statistical signal and image processing, nonlinear and sparse signal processing, machine learning, and human-computer interaction, with an emphasis on information access for individuals with disabilities. He received a bachelor’s degree in electrical engineering (magna cum laude) from Lehigh University and master’s and doctoral degrees in electrical engineering at the University of Delaware. Prof. Barner, who joined the UD faculty in 1993, is a Fellow of the IEEE. He has served as associate editor for numerous signal processing journals and was the Founding Editor in Chief of the journal Advances in Human-Computer Interaction. He is a member of Tau Beta Pi, Eta Kappa Nu, and Phi Sigma Kappa.
Professor & Graduate Director, Hospitality Business Management
hospitality marketing, consumer psychology, digital marketing & research methods
Srikanth Beldona is a professor and the graduate director in the Department of Hospitality Business Management at the Alfred Lerner College of Business and Economics. He earned his Ph.D. from Purdue University and an MBA from the University of Newcastle, Australia. His focus of research is in consumer psychology as it relates to hospitality-based experiences and digital marketing in hospitality and travel. He has published over 65 articles/papers that have appeared in journals such as the Cornell Hospitality Quarterly, Journal of Travel Research, Tourism Management and the International Journal of Hospitality Management among others. He was the guest editor for the Journal of Hospitality and Leisure Marketing’s 2008 special issue titled “The Impact of Technology on the Marketing of Hospitality and Travel Services.”
Beldona is a member of the Editorial Board for the Cornell Hospitality Quarterly. He was honored as one of 2015’s Top 25 Most Extraordinary Minds in Hospitality Marketing.
Associate Professor, Chemical & Biomolecular Engineering
Metabolic Engineering, Protein Engineering, Biomanufacturing, Synthetic Biology, Systems Biology
Biological systems have been used for the production of value-added compounds for centuries; however, our ability to read and write DNA make it possible to engineer biology to far exceed its natural capabilities. My research group addresses big problems in sustainability, human health, national defense, and space exploration – using synthetic biology, metabolic engineering, genomics & systems biology, and protein engineering. We work mostly in eukaryotic systems (non-model yeast and mammalian cells) as well as bacteria. We are increasingly interested in the use of systems-scale data for better informing biological design decisions.
Assistant Professor, Physics and Astronomy
plasma, nuclear fusion, astrophysics
Dr. Arijit Bose joined the Department of Physics and Astronomy at UD in 2021. Prior to which he was a postdoctoral associate at MIT – Plasma Science and Fusion Center and at UMich. Arijit received a PhD in physics from the University of Rochester in 2017 and a BSc (Hons) physics from the Chennai Mathematical Institute. Arijit received the F. J. Horton Graduate Research Fellowship to conduct his doctoral research on inertial confinement fusion at the Laboratory for Laser Energetics (LLE). LLE houses the Omega laser facility, which is a unique national resource for High-Energy-Density Physics experiments. Arijit’s research involves using high-power lasers, like the National Ignition Facility at Lawrence Livermore National Lab, or pulsed-power systems, like the Z-machine at Sandia National Lab, to study matter at extreme conditions produced in astrophysics phenomenon in the universe and in nuclear fusion energy research.
Associate Professor, School of Nursing
Dr. Bowen utilizes innovative real-time tracking technology to examine intra-individual changes in behavior that may be associated with adverse events (e.g, falls, UTIs) and poor health outcomes (declines in physical function) in later life. Currently, Dr. Bowen is focusing on the development of tailored nursing interventions to delay/prevent adverse-event related declines in function among vulnerable older adults in long-term care.
Professor, Mathematical Sciences
After earning bachelors and masters degrees in mechanical engineering, Dr. Braun earned his PhD in applied mathematics from Northwestern University. He was then an NRC postdoctoral fellow at the National Institute of Standards and Technology. Following his postdoc, he joined the Department of Mathematical Sciences at UD in 1995. He has been funded via the NSF and industrial sources, supervised postdocs, graduate and undergraduate students, and collaborated with a wide variety of scientists and engineers. His recent research has focused on tear film dynamics and blinking.
Professor, Entomology and Wildlife Ecology
Ecological modeling, Remote sensing, Ornithology
Jeff Buler is a Professor of Wildlife Ecology at the University of Delaware (UD). He earned his Ph.D. degree in biology from the University of Southern Mississippi and M.S. degree in wildlife from Louisiana State University. He established the Aeroecology Program at UD in 2011 and has lead the development of novel methods and software to use the national network of weather surveillance radars to study the broad-scale distribution, movement, and habitat use patterns of birds, insects, and bats. His general research interests include 1) modeling wildlife species distributions and habitat relationships over broad geographic scales, 2) assessing wildlife response to habitat restoration/management and anthropogenic development, and 3) studying the behavior and ecology of birds during migration.
Climatologist and Visiting Assistant Professor, Department of Geography and Spatial Sciences
storms and coastal flooding, tidal analysis, climate, GIS, remote sensing
Dr. John Callahan is a interdisciplinary climate scientist and Visiting Assistant Professor in the Department of Geography and Spatial Sciences. Recent research at UD has focused on coastal storms and flooding, tidal data analysis, and developing a statistical predictive model for surge levels in Delaware. John was lead developer of the Delaware Coastal Flood Monitoring System (an online early warning system for coastal flooding) and lead author of the most recent Delaware SLR Projections report released in 2017. Other related work includes GIS and terrain analysis, biases in lidar elevation datasets due to vegetation, down-scaling satellites estimates of soil moisture, relationships between Atlantic White Cedar tree ring growth and weather variables, identifying locations within Delaware vulnerable to stream and coastal flooding, and estimating atmospheric water vapor from GOES satellite imagery. John holds a PhD in Climatology and MSc degree in Geography from UD, and BSc degrees in Mathematics and Physics from Temple University, Philadelphia, PA.
Assistant Professor, Biomedical Engineering
Every aspect of our lives depends on our ability to move. The overarching goal of my research program is to understand how the brain controls movement and adapts to new environments. My research falls under three major themes. The sensorimotor learning and neuroplasticity research line examines how reinforcement feedback can subserve our ability to acquire new motor skills. The neuromechanics line of research examines how the sensorimotor system controls the complex physics of our bodies while striking a balance between efficiency, mobility and stability. We have also begun work on human-human interactions, where the goal is to better understand how we use sensory and task feedback to discover a partner’s movement intention when selecting joint actions. To address these questions, we use a complementary blend of human experiments, theory and computational modelling. The long-term goal is to inform rehabilitation paradigms to improve the quality of life for those suffering from neurological disease, such as Parkinson’s or Stroke.
David L. and Beverly J.C. Mills Career Development Chair Associate Professor, Department of Computer and Information Sciences
HPC, Parallel Programming, Computer Architecture, Bioinformatics
Sunita Chandrasekaran is currently an Assistant Professor at the University of Delaware in the Dept. of Computer & Information sciences. Her area of research spans High Performance Computing, Computer Architecture, Parallel Programming, and exploring challenges with migrating legacy scientific code to accelerators and heterogeneous processors. She received the 2016 IEEE-CS TCHPC Award for Excellence for Early Career Researchers in High Performance Computing. She co-edited a book on “OpenACC for Programmers: Concepts and Strategies” published in November 2017.
Associate Professor, Department of Computer & Information Sciences
Data Management and Data Integration, Cloud Computing, Big Data Analytics, Deep Learning, Bioinformatics, Semantic Web and Ontology Engineering
Dr. Chen has developed several novel computational algorithms and software tools to support large-scale sequence clustering, sequence analysis, and proteomics study. He has led the effort for semantic computing and cloud computing as part of the NIH Big Data to Knowledge (BD2K) initiative. Through the Bioinformatics Network of Delaware (BiND), he has assisted in translating the CBCB services and capabilities into statewide resources, leveraging our computational cluster to serve hundreds of users across Delaware institutions. His research interests include data management and data integration, cloud computing, big data analytics and bioinformatics with focus on algorithms and software development.
Professor, Behavioral Health and Nutrition
Graduate Director, Health Behavior Science Programs
Human Aging, Diabetes Mellitus, Chronic Kidney Disease, Biostatistics, Bioinformatics
Adam Davey is a Professor of Behavioral Health and Nutrition and Graduate Director of Health Behavior Science Programs. He is also Affiliated Faculty for the Center for Bioinformatics and Computational Biology. Previously, he served as Associate Dean for Research in the College of Health Sciences. Prior to joining the University of Delaware, Dr. Davey was Professor and Founding Chair in Temple University’s Department of Epidemiology and Biostatistics within the College of Public Health and held a secondary appointment in the Center for Data Analytics and Biomedical Informatics in Temple’s College of Science and Technology. Davey also brings more than 20 years of experience with data management and analysis including latent variable mixture models and bioinformatics.
Associate Professor, Geography and Spatial Sciences
GIS, remote sensing, climate change, land science
My research interests are in the areas of physical and hydroclimatology, GIS and remote sensing focusing on land surface interactions with climate (and vice versa) by investigating regional to global observations and remotely sensed datasets. I rely heavily on using GIS, image processing systems and python for visualization of the geographic data and for mapping and spatial analysis. Geographic areas I have investigated include the Southern Great Plains with my dissertation soil moisture work, the Amazon Basin, the polar oceans examining sea ice thickness, and more recently Delmarva Peninsula.
Assistant Professor, Department of Mathematical Sciences
Vu Dinh is an assistant professor in the Department of Mathematical Sciences, University of Delaware. His research focus on applied probability/statistics and phylogenetics, with an emphasis on the developments of next-generation methods for phylogenetic inference.
From 2015-2017, he was a post-doctoral research fellow at Fred Hutchinson Cancer Research Center (Seattle, WA). He received his PhD in 2014 from Purdue University, working on computational methods for experimental design and control of biological systems. He earned his bachelor degree in 2008 from the University of Science (Ho Chi Minh City, Vietnam).
Associate Professor, Physics and Astronomy
Extrasolar planets, frequency-domain analysis, Gaussian processes
Dr. Dodson-Robinson is an associate professor in the Department of Physics and Astronomy. She is a member of the 100 Earths Project, a team of astronomers, engineers, and mathematicians using the Discovery Channel Telescope to search for earthlike planets orbiting sunlike stars. Her research group is developing and testing algorithms for validating planet discoveries. Dr. Dodson-Robinson also conducts numerical simulations of the chemistry and dynamics of planet-forming environments. She won the American Astronomical Society’s Annie Jump Cannon award in 2013 and an NSF Career Grant in 2011.
Assistant Professor, Sociology and Criminal Justice
Criminal justice, policy, crime, evaluation
Ellen Donnelly is an assistant professor of Sociology and Criminal Justice. Her research broadly examines disparities in the U.S. criminal and juvenile justice systems. She specializes in using statistical methods to estimate the size and sources of disparity in justice processing as well as the impacts of justice reform. Her work in Delaware aims to help policymakers design fairer processing practices.
Professor, Department of Mathematical Sciences
B.S. Math, B.S. Physics from Pennsylvania State University, Ph.D. in Applied Mathematics from Cornell University. At UD since 2000. Author of four books on computational methods. Author/coauthor of free software packages for numerical computing. Founder and inaugural Director of the Center for Applications of Mathematics in Medicine. Expert on spectral discretizations of differential equations.
Associate Professor, Sociology & Criminal Justice
family, social stratification, health disparities, sexual and reproductive health
Dr. Mieke Eeckhaut is an Associate Professor of Sociology at the Department of Sociology and Criminal Justice, University of Delaware. Her research examines the social and health consequences of social stratification for the family, with current work focusing on inequalities in the use of long-acting contraceptive methods (sterilization, and intrauterine devices and implants) in the United States. Her recent work has been published in Demography, Journal of Marriage and Family, Journal of Family Issues, Population Studies, European Sociological Review, Acta Sociologica, Perspectives on Sexual and Reproductive Health, Contraception, and Fertility & Sterility. She received her PhD in Sociology from Ghent University (Belgium), and completed a NICHD F32 postdoctoral fellowship at the California Center for Population Research at the University of California, Los Angeles.
Assistant Professor, Entomology and Wildlife Ecology
pathogens, coevolution, microbiome, evolution, macroecology
I am a molecular disease ecologist. Much of my work has been on the ecology and evolution of avian haemosporidian parasites, commonly known as avian malaria parasites. I have worked on host immune responses to avian malaria infection, effects of avian malaria on host fitness and population size, parasite biogeography, and the evolution of host specificity. I also work on the ecology of Borrelia burgdorferi, the bacterial pathogen that causes Lyme disease in humans.
Investigative journalism, data analysis, medical and science trends, loneliness
As a reporter, Dawn Fallik covered a Super Bowl, an execution, and the Indian Ocean tsunami. She was the co-director of the National Institute of Computer-Assisted Reporting at the University of Missouri, where she worked with journalists to obtain federal, state and local data (once on 3480 cartridges.) She was a staff writer for The Associated Press and The Philadelphia Inquirer’s medical desk before coming to UD in 2007. She now writes for The Wall Street Journal, The Washington Post and Neurology Today. She is part of a team of UD researchers who recently won an NSF grant to investigate illicit mining. She is also interested in the medical ramifications of chronic loneliness and spoke at SXSW – “Generation Lonely: 10,000 Followers and No Friends.”
Professor, Electrical and Computer Engineering
I am a Professor in the Department of Electrical and Computer Engineering at the University of Delaware. I am also affiliated with the Department of Computer and Information Sciences, Institute for Financial Services Analytics and Center for Bioinformatics and Computational Biology.
I lead the InfoLab group working on exciting topics related to information management such as Information Retrieval, Knowledge base, Data Mining and Biomedical Informatics. My research has been supported by National Science Foundation, University of Delaware Research Foundation and companies such as HP Labs and JPMorgan Chase.
I received my M.S. and Ph.D degree from University of Illinois at Urbana-Champaign in 2004 and 2007, respectively, and B.S. degree from Tsinghua University in 2001.
Associate Professor of Operations Management, Business Administration
Senior Faculty Fellow, Institute for Financial Services Analytics (IFSA)
Bayesian, Data Visualization, Supply Chain Analytics
Adam Fleischhacker is an Associate Professor of Operations Management at the Lerner College of Business and Economics at the University of Delaware (UD) and a J.P. Morgan Chase Faculty Fellow at UD’s Institute for Financial Services Analytics. He holds a Ph.D. in supply chain management from Rutgers University, an MBA from the University of Rochester, and a bachelor’s degree in mechanical engineering. Prior to entering academia, Adam was a successful software product manager in the analytics space. His software designs led to the purchase of a start-up – where Adam was employee number 5 – and the implementation of front-office solutions at many Fortune 500 companies. He is the author of “A Business Analyst’s Introduction to Business Analytics” and the `causact` package (written in the R programming language) which accelerates the design of data-driven models and the communication of data-driven insights. The `causact` package is on the Comprehensive R Archive Network (CRAN).
Associate Professor, Social Area Program Director, Psychological and Brain Sciences
Social neuroscience, self/identity, stigma/prejudice, STEM achievement
Chad E. Forbes (Ph.D., University of Arizona) is an Associate Professor of Psychological and Brain Sciences at UD. With a background spanning from molecular biology to complex social processes, he utilizes behavioral methodologies as well as EEG, fMRI and genetic approaches to investigate social phenomena. Specifically, he examines how priming negative stereotypes affects our perceptions as well as stigmatized individuals in our society, e.g. minorities and women, to ironically engender situations that inadvertently reinforce the stereotype. Dr. Forbes is currently funded by the NSF to examine how and why minorities and women are more likely to leave academics and STEM fields respectively, how these stressors can be transmitted to others in group interactions, as well as how these phenomena can be reversed. He has numerous publications, including Annual Reviews of Neuroscience and Cerebral Cortex, and was recently recognized as a “Rising Star” by the American Psychological Association.
Professor, Electrical and Computer Engineering
Information processing, probabilistic techniques, coding
Javier Garcia-Frias received the Ingeniero de Telecomunicación degree from Universidad Politécnica de Madrid, Spain, in 1992, the Licenciado en Ciencias Matemáticas degree from Universidad Nacional de Educación a Distancia, Madrid, in 1995, and the Ph.D. degree in electrical engineering from the University of California, Los Angeles, in 1999. In 1992 and from 1994 to 1996, he was with Telefónica I+D in Madrid. From September 1999 to August 2008, he was an Assistant and then an Associate Professor in the Department of Electrical and Computer Engineering at the University of Delaware, where he is currently a Professor. His research interests are in the area of information processing in communications and in complex systems. Dr. Garcia-Frias is a recipient of a 2001 NSF CAREER award and of a 2001 Presidential Early Career Award (PECASE) in support of his communications program.
applied topology, mathematical neuroscience
Professor Giusti received his PhD in Mathematics from the University of Oregon in 2010, after which he held postdoctoral positions at the University of Nebraska — Lincoln in Mathematical Neuroscience and as a Warren Postdoctoral Fellow at the University of Pennsylvania’s Warren Center for Network and Data Science. His applied work focuses on understanding how local features of complex systems assemble to form global structures, how to apply this knowledge to understand and intervene in the function on neural systems, and the theoretical foundations of neural computation. His other interests include development of new applications for topological methods, including signals processing and force distributions in granular materials, and new techniques in pure and applied topology.
Associate Professor, Department of Mathematical Sciences
Graphical models, covariance estimation, statistical analysis with missing data, graph signals
Dr. Guillot is an associate professor in the Department of Mathematical Sciences. His research interests include matrix analysis, graphical models, the reconstruction of missing values in datasets, and the analysis of signals on networks. He is interested in the applications of data science in climate science and in engineering problems. Prior to joining UD, he was a postdoctoral fellow at the Statistics Department at Stanford University and a postdoctoral fellow at the Department of Earth Sciences at the University of Southern California. He received his Ph.D. in mathematics from Laval University.
Assistant Professor, Department of Chemistry & Biochemistry
Computational chemistry, computational biophysics, structural biology, molecular dynamics simulations, molecular modeling
Dr. Hadden-Perilla uses all-atom molecular dynamics simulations — often referred to as “the computational microscope” — to study biological machines, such as viruses and molecular motors. Prior to joining the University of Delaware, she held a postdoctoral position at the Beckman Institute for Advanced Science and Technology and served as the Technology Training Organizer for the NIH Center for Macromolecular Modeling and Bioinformatics. Dr. Hadden-Perilla’s research extends beyond elucidation of the mechanisms of biological machines to developing tools and approaches that make the “computational microscope” accessible to blind and vision-impaired researchers.
Associate Professor, Communication
political communication, social media, public opinion, national politics
Dr. Lindsay Hoffman joined the faculty of the Department of Communication at the University of Delaware in September 2007 after receiving her Ph.D. from The Ohio State University. Her research examines how citizens use internet technology to become engaged with politics and their communities. She also studies public opinion and the importance of perceived public opinion; the effects of viewing political satire on knowledge and participation; political and communication efficacy; and factors that drive news use.
Dr. Hoffman’s research is theoretically grounded in political communication, mass communication, and public opinion. Her work emphasizes both the social circumstances and psychological predispositions that influence individual media uses and effects. Her research also examines the components of mediated messages that encourage individuals to participate in — or distance themselves from — political activities such as voting, engaging with news, or simply expressing opinion.
Professor and Director, Epidemiology
Disaster; Public Health; Epidemiology; Outbreaks and Pandemics
Jennifer Horney is Professor and Founding Director of the Program in Epidemiology and Core Faculty at the Disaster Research Center at the University of Delaware. Dr. Horney’s research focuses on measuring the health impacts of disasters. She received her PhD in Epidemiology and MPH from the UNC at Chapel Hill. She has led interdisciplinary research projects funded by the NIEHS, NSF, the National Oceanic and Atmospheric Administration, the Department of Homeland Security, the U.S. Department of Agriculture and other federal, state, and local agencies. Dr. Horney was a member of a team of public health practitioners who responded to Hurricanes Isabel, Charley, Katrina, Wilma, Irene, and Harvey where she conducted rapid assessments of disaster impact on the public health of individuals and communities. She has also provided technical assistance to public health agencies globally around disasters, emerging infectious disease outbreaks, and pandemic influenza planning and response.
Assistant Professor, Department of Geography and Spatial Sciences
Assistant Professor, Department of Civil and Environmental Engineering
Sociohydrology; Model Integration; Big Data; Causal Inference; Sustainability
Dr. Yao Hu is an Assistant Professor in the Department of Geography and Spatial Sciences and Department of Civil Engineering. His research area focuses on the study of integrated human and water systems, developing modeling tools and Cyberinfrastructure that can provide insights into the complexity of the integrated systems, as well as inform evidence-based decision making on water security issues in the ever-changing environment. Dr. Hu is currently leading the Water Security Lab at the University of Delaware.
Dr. John Jeka joined the University of Delaware in 2017 as Professor and Chair of the Department of Kinesiology and Applied Physiology. Dr. Jeka is internationally recognized for his work on human locomotion and balance, with a specific interest in how information from multiple senses is fused for upright stance control. His interdisciplinary research team, which included kinesiologist, biomedical engineers, physical therapists and mathematicians, investigates basic mechanisms in adaptive sensorimotor control in healthy individuals and in patient populations with neurological diseases. With over $10 million in funding, Dr Jeka has been continuously funded since 1994 with grants from the National Institutes of Health and the National Science Foundation as well as private foundation such as the Shriners Foundation and the Erickson Foundation. He has published over 80 articles and has patents on assistive devices to aid mobility.
Associate Director, Center for Research in Education & Social Policy
Assistant Professor, Education, Behavioral Health & Nutrition
rigorous research,healthy food purchasing,behavioral health and nutrition
Dr. Karpyn is senior associate director of the Center for Research in Education and Social Policy (CRESP), associate professor of education and associate professor of behavioral health and nutrition at the University of Delaware. She also holds adjunct faculty positions at the University of Pennsylvania and Thomas Jefferson University and is an associate fellow for the Center for Public Health Initiatives at the University of Pennsylvania. Prior to joining UD, Karpyn served as the director of research and evaluation at The Food Trust in Philadelphia for 11 years, where her research focused on understanding healthy food purchasing and consumption behavior, especially among children.
Dr. Karpyn is committed to informing policy and practice with rigorous research designs. Her current research efforts include the study of corner store programs in urban areas and in-store marketing approaches in supermarkets to promote purchase and consumption of healthier options.
Assistant Professor, School of Marine Science and Policy
Environmental pollution; Public health; Geohealth; Food-web bioaccumulation
Dr. Li studies the sources, transport, fate, and bioavailability of contaminants and nutrients in ecosystems and their impacts on public health, with an emphasis on linking global environmental changes to ecological and human health. Dr. Li currently uses multidisciplinary research approaches including analytical isotope geochemistry, ecosystem modeling, and field monitoring to understand the effects of global changes (climate change and pollution) on the burden of legacy and emerging contaminants in marine biota.
Assistant Professor, School of Marine Science and Policy
Ecosystem, Modeling, Coastal
Dr. Li’s research involves developing, coupling and implementing physical-biogeochemical numerical models to identify key drivers, influence pathways and consequences of marine ecosystem variability, with focus on the “bottom-up” effects cascading from physical environment (e.g., stratification, circulation, sea ice) to primary production and the food web. By addressing dynamical linkages between physical drivers and the ecosystem responses, our lab then can apply those linkages to decode historical record in the past and predict likely changes in the future. The interdisciplinary nature of our research is built upon collaboration with physical, biogeochemical, ecological, geological and satellite oceanographers.
Assistant Professor, School of Marine Science and Policy
Ocean Data Synthesis, Ocean Reanalysis, Climate Change, Ocean Dynamics
Dr. Liang is interested in using a combination of observations, numerical models and theory to understand how the ocean works and how the ocean is affected by and responds to the changing climate. In particular, Dr. Liang is interested in how the heat, salt, carbon, and other biogeochemical tracers are transported in the global ocean. Another of Dr. Liang’s current research interests is the dynamic processes that can supply energy to ocean mixing, and these processes mainly include internal tides, near-inertial oscillations, and mesoscale eddies. Dr. Liang has extensive seagoing experience, primarily in acquiring and processing data from Lowered/Vessel-mounted Acoustic Doppler Current Profiler (ADCP). Furthermore, he is familiar with the system of ocean state estimation (e.g., ECCO), which is powerful and has huge potential in addressing fundamental oceanographic questions.
Associate Professor, Computer and Information Sciences
Li Liao, associate professor of Computer & Information Sciences at the UD, has worked in the field of bioinformatics for more than 20 years, with broad expertise in developing computational methods to solve a wide variety of biological problems, from detecting remote protein homology to reverse engineering the biological networks and to predicting disease comorbidity. An author of more than 70 peer-reviewed publications, he is active in research and serving the bioinformatics community. He has served as a panelist for NSF, program committee member and/or organizer for over 20 conferences and workshops in bioinformatics for the past 5 years, and is currently on the editorial board of several journals, including the ACM/IEEE Transactions on Computational Biology & Bioinformatics. He received a PhD in theoretical physics from Peking University, and graduate degrees from University of Pennsylvania and Columbia University in chemistry and computer science respectively.
Assistant Professor, Department of Hospitality Business Management
Business Analytics, Revenue Management, Food Safety, Consumer Behavior
Jing Ma is an assistant professor in the Department of Hospitality Business Management in the Alfred Lerner College of Business and Economics. Her research interests lie in the application of analytics and statistical methods to the study of hospitality business operations and revenue management, consumer behaviors, and food safety. Her goal is to provide data driven solutions for the hospitality industry.
Associate Professor, Department of Computer & Information Sciences
Lena Mashayekhy is an associate professor in the Department of Computer and Information Sciences at the University of Delaware. Her research interests include edge/cloud computing, data-intensive computing, Internet of Things, and algorithmic game theory. Her doctoral dissertation received the 2016 IEEE TCSC Outstanding PhD Dissertation Award. She is also a recipient of the 2017 IEEE TCSC Award for Excellence in Scalable Computing for Early Career Researchers. She has published more than thirty peer-reviewed papers in venues such as IEEE Transactions on Parallel and Distributed Systems and IEEE Transactions on Cloud Computing.
Assistant Professor, Department of Computer and Information Sciences
Sustainability; Education; Health;
Matthew Mauriello is an Assistant Professor and Human-Computer Interaction researcher (HCI/CS) in CIS, as well as the director of the Sensify Lab (sensifylab.org). His research interests center around designing better user experiences with technology and tackling societal problems in the areas of sustainability, human-building interactions, wearables, personal informatics, education, health & wellness, and games. The aim of this research is twofold: (i) to understand and improve the role of technology with respect to personal and societal issues and (ii) complement and extend rather than supplant user capabilities. His approach to research begins with formative work to explore user challenges and perceptions that help to identify what roles HCI might play (e.g., to identify pain points that technology could alleviate). This work typically informs an iterative design and engineering phase that often results in a cyber‐physical or software system that leverages advances from diverse areas of computer science (e.g., machine learning, image processing, information visualization, social computing) to improve user experiences.
Professor, School of Public Policy & Administration
data4good, technology and social justice, e-government, social policy, advocacy
John G. McNutt is Professor in the School of Public Policy and Administration at the University of Delaware. Dr. McNutt is a specialist in the application of high technology to political and social engagement. His work focuses on the role of technology and data in lobbying, e-government and e-democracy, political campaigning and deliberation, organizing and other forms of political participation. He has conducted research on professional associations, child advocacy groups, consumer and environmental protection groups, social action organizations and legislative bodies. Dr. McNutt has edited, co-edited or co-authored seven books and many journal articles, book chapters and other publications.
Research Advancement Associate, Research Office
Infrastructure; capacity-building; partnerships
Dr. Suzanne A. Milbourne strives to advance the capacity of and resource infrastructures available to research teams and their partners. Dr. Milbourne conceptualizes and implements foundational approaches to establish professional working relationships with partner institutions. She leverages organizational structures and complex inter-institutional relationships in support of research partnership initiatives. Dr. Milbourne has expertise in the area of establishing streamlined work flow processes and maximizing the efficiencies of partnerships and research teams.
Assistant Professor, Psychological & Brain Sciences
Neural encoding of social information, Innate social behavior, Animal communication, Dominance hierarchies
Josh Neunuebel received a B.S. in Molecular and Cellular Biology and a M.S. in Zoology from Texas A&M University. Josh received a Ph.D. in Neuroscience from UT Health Science Center-Houston. During Josh’s doctoral and first post-doctoral appointments (Johns Hopkins University), he systematically mapped the flow of information through the hippocampus and identified key mechanisms of memory storage. As a post-doctoral fellow at HHMI Janelia Research Campus, Josh focused on the neurobiology of animal behavior, in particular, how mouse vocalizations shape the dynamics of social behavior. In the fall of 2014, Josh accepted a faculty position in the Department of Psychological and Brain Sciences at UD. His research focuses on how the nervous system processes and integrates social information that underlies purposeful innate behavior. His research team laid the groundwork for elucidating the neurobiology of social behavior by building a novel system for simultaneously recording neural, audio, and behavioral data from freely socializing mice, which requires high-performance computing and machine- and deep-learning approaches to analyze.
Professor, Earth Sciences
Co-Chair, Research Information Management Committee
My research involves directly measuring properties of the Earth’s surface and trying to understand how those properties are affected by climatic, geologic, and anthropogenic processes. My students and I collect data using a very wide range of techniques including remote sensing and traditional instrument surveys. The basic research questions I address can be posed in many different settings. As a result, my publications encompass a wide spectrum of surficial environments including icy landscapes, river channels, earthworks, and beaches.
Assistant Professor, Chemistry & Biochemistry
Biophysics, Computational biology, molecular modeling, statistical biophysics
A key theme of Dr. Perilla’s research is to explore fundamental cell processes across multiple scales. Dr. Perilla’s primary technique is molecular dynamics (MD). During the past three decades, MD simulations have emerged as a “computational microscope”, which has provided a unique framework for the study of the phenomena of cell biology in atomic (or near-atomic) detail. Remarkably, due to the the ambitious nature of Dr. Perilla’s research, his lab has developed novel MD approaches for computation, data analysis, and interface to experiments. In addition, the synergistic interplay between Dr. Perilla’s computational work and state-of-the-art experimental work performed by experimental collaborators, has resulted in a robust framework for elucidating accurately and quantitatively the physical mechanisms of biomolecular function.
Associate Professor, Computer and Information Sciences
Director, CBCB Bioinformatics Core Facility
Viral ecology, microbiome, metagenomics, genomics, bioinformatics
Dr. Polson’s research interests lie at the intersection of genomics and microbial ecology, examining the ways in which microorganisms and viruses affect and are affected by their environments. While admitting a preference for marine research, his research also encompass a broad range of other environments from soils and agriculture to the extreme environments of hot springs and deep sea hydrothermal vents. The data intensive nature of the research has led him to specialize in bioinformatic aspects, identifying creative solutions to visualize and analyze microbial communities including high-throughput genomic, transcriptomic, and metagenomic data.
Associate Professor, Philosophy
Director, Center for Science, Ethics & Public Policy
Information Technology Ethics
Thomas M. Powers is Associate Professor in the Philosophy Department and the founding director of the Center for Science, Ethics, and Public Policy at the University of Delaware. His research concerns ethics in information technology, and more generally, science and engineering ethics and policy. Powers received a Ph.D. in philosophy (UT-Austin) after studying at the LMU in Munich as a DAAD-Fulbright fellow. He has been an NSF research fellow in the School of Engineering and Applied Science at the University of Virginia, and a visiting researcher in the Laboratoire d’Informatique at the Sorbonne (UPMC). He is the editor of Philosophy and Computing: Essays in Epistemology, Philosophy of Mind, Logic, and Ethics (Springer) and publishes in journals across several disciplines, e.g., IEEE Robotics and Automation, IEEE Intelligent Systems, and Ethics and Information Technology.
Associate Professor, Applied Economics and Statistics
Dr. Wei Qian is an Assistant Professor of Statistics at the Department of Applied Economics and Statistics; he is also affiliated faculty of the Institute for Financial Services Analytics. Dr. Qian conducts research in the field of statistics and machine learning, with particular interests in high-dimensional statistics, model selection, dimension reduction, nonparametric and semiparatric estimation, actuarial statistics, forecasting, online recommendation, and data science applications.
Associate Professor, Applied Economics and Statistics
Multiple testing, high dimensional data, Bayesian modelling, bioinformatics
Dr. Jing Qiu obtained her PhD in Statistics from Cornell University and was a tenured faculty at the Department of Statistics, University of Missouri at Columbia before she joined the UD in 2015. She is currently a tenured associate professor of Statistics and an affiliated faculty member at CBCB.
Her research interest lies in the analysis of high dimensional data, statistical modeling of genomics data, multiple testing and Baysian modelling. She has published one book chapter and 26 papers on peer reviewed journals including top journals such as Science, Journal of the Royal Statistical Society: Series B, Bioinformatics, Biometrics, Biostatistics, BMC Bioinformatics. She serves on the Editorial Board of Mathematics of Computation and Data Science (specialty section of Frontiers in Applied Mathematics and Statistics) as Review Editor since 2016 and on the committee on the Award of Outstanding Statistical Application, the American Statistical Association since 2016.
Assistant Professor, School of Marine Science and Policy
climate change, complexity, food systems
James Rising is an interdisciplinary modeller in the School of Marine Science and Policy. His research focuses on the impacts of climate change and the interaction between human decisions and the environment. He builds integrated models to better understand social choices, issues around climate justice, and how to make the most of natural resources. Prior to joining the the University of Delaware, James held positions at the Grantham Research Institute at the London School of Economics, Energy Policy Institute at the University of Chicago, and Energy & Resources Group at UC Berkeley. He received his Ph.D. from Columbia University’s program in Sustainable Development. He has also had a career as a software developer, working with over a dozen companies on audio and video processing, social networks, and artificial intelligence.
Dean of the Graduate College and Vice Provost for Graduate and Professional Education, Graduate College
Professor, Mathematical Sciences
Louis Rossi is Vice Provost for Graduate and Professional Education and Dean of the Graduate College and Professor, Department of Mathematical Sciences. He has wide ranging research interests in swarming, fluid dynamics, computational methods and modeling. Recent projects include the analysis of aggregations of living systems, wireless and wired biologically inspired network protocols and high Reynolds number flow fields. Most recently, he is interested in the coordination of groups of plankton.
Associate Professor, School of Education
educational technology, learning sciences, data-intensive methods
Dr. Teomara (Teya) Rutherford is an Associate Professor of Education in the UD School of Education’s Learning Sciences specialization area. She earned her PhD in Learning, Cognition, and Development from University of California, Irvine, her JD from Boston University School of Law, and her bachelor’s degree in Elementary Education with a concentration in Computers in the Classroom from Florida International University.
Dr. Rutherford’s research focuses on learning and motivation in digital contexts, with a particular focus on how and why students make decisions as they engage with educational technology. She received an NSF CAREER award in 2019 to study students’ in-the-moment motivations and emotions as they work within a digital mathematics learning tool. This work uses data-intensive methods, such as learning analytics, to understand how motivation relates to choice and success within the software.
Associate Professor, Department of Computer and Information Sciences
AI, machine learning, quantum, networks, algorithms, nlp
Dr. Ilya Safro received his Ph.D. from the Weizmann Institute of Science under the supervision of Achi Brandt and Dorit Ron. In January 2021, he joined the Department of Computer and Information Sciences at the University of Delaware. In 2012-2020, Dr. Safro held assistant and associate professor positions in the School of Computing at Clemson University. He was also a Faculty Scholar of the Clemson University School of Health Research. Before that he was a postdoc and Argonne scholar at the Division of Mathematics and Computer Science at Argonne National Laboratory. Dr. Safro research is funded by NSF, DARPA, DOE, BMW, and Greenville Healthcare Systems. His research interests include algorithms and models for AI, machine learning, NLP, network science and graphs, quantum computing and large-scale optimization.
Associate Professor of Mathematics, Mathematical Sciences
Math modeling, math and biology, math and medicine, math and finance
The focus of my current research is in the application of mathematics in medicine. I am a member of the Center for the Application of Mathematics in Medicine (CAMM). My research involves mathematical modeling, ordinary and partial differential equations, stochastic differential equations, discrete mathematics, asymptotic and perturbation methods, scientific computing and data processing.
Associate Professor, Physics and Astronomy
Cosmic Rays, Radio Detection, Analysis Methods, Monte Carlo Simulations, Neural Networks
Frank G. Schroeder graduated at Technical University of Darmstadt, Germany and received his PhD in Physics at the Karlsruhe Institute of Technology (KIT), Germany in 2011. During his postdoctoral career he did research at the Universidad Nacional de San Martin, Buenos Aires, Argentina, and became leader of a young investigator group at KIT, Germany. He joined University of Delaware as tenure-track faculty in 2018. His research is about the detection and data analysis of ultra-high-energy cosmic rays, in particular, at the Pierre Auger Observatory in Argentina and at the IceCube Neutrino Observatory at the South Pole.
Professor, Hospitality Business Management
Hotel revenue management
Dr. Zvi Schwartz is a Professor in the Department of Hospitality Business Management, Alfred Lerner College of Business and Economics at the University of Delaware. He was the Marriott Senior Faculty Fellow for Hospitality Finance and Revenue Management, and the director of graduate programs, at Virginia Tech.
He received a doctoral degree from Purdue, an MBA at Tel-Aviv University, and a BA in Economics from Haifa University. Zvi has over a decade of lodging industry experience as a manager at Hyatt Hotels, and an entrepreneur with Inntegral and Technolodge.
His scholarly research and industry consulting focuses on the core technical elements of the revenue management cycle. Recent projects explored novel hotel forecasting approaches, occupancy forecasting accuracy measures, hotel competitive sets, overbooking optimization, and revenue management performance measures.
Dr. Schwartz is a three-time recipient of ICHRIE’s Wiley Memorial Best Published Research Paper of the Year Award.
Assistant Professor, Energy and Environmental Policy
policy, innovation, institutions, corporate sustainability, sustainable development, green economy
Areas of research include: Energy policy and development: green economy, renewables, energy efficiency, resilient energy infrastructure, clean energy transitions, oil and natural gas markets. Can discuss environment and climate change policy, including the blue economy, climate change adaptation, climate finance and risk, tourism industry. Also studies corporate sustainability and public policy, such as corporate social responsibility; foreign direct investment and sustainable development; environmental and social governance in businessSpecializes in policy, regulation, institutions and governance in small economies, island states and territories including U.S. policy in the Caribbean, Pacific and African/Indian Ocean.
Assistant Professor, School of Education
education, policy, causal inference
Dr. Kenneth A. Shores is an assistant professor specializing in education policy in the School of Education at the University of Delaware, and he is affiliated with the UD Center for Research in Education and Social Policy. His research is focused on educational inequality and encompasses both descriptive and causal inference. To this end, his work addresses racial/ethnic and socioeconomic inequality in test scores, school disciplinary policy, classification systems, and school resources. In addition, he has examined how improvements to school finance systems can reduce educational inequality and how vulnerabilities in school finance systems can contribute to it.
Dr. Shores was a National Academy of Education/Spencer Dissertation Fellow, a Philanthropy and Civic Society Fellow, a Stanford Graduate Fellow, and an Institute of Education Sciences (IES) Predoctoral Fellow. In 2018, he was the co-recipient of the National Council on Measurement in Education’s Annual Award for exceptional achievement in educational measurement.
He received his Ph.D. in education policy analysis from Stanford University. Prior to graduate school, he was a middle school teacher on the Navajo Nation.
Assistant Professor, Biden School Public Policy and Administration
Assistant Professor, Geography & Spatial Sciences
Assistant Professor, Disaster Research Center
climate change; adaptation; decision-making; text mining
A.R. Siders is an assistant professor in the Disaster Research Center, Biden School of Public Policy and Administration, and Department of Geography and Spatial Sciences. She holds a JD from Harvard and a PhD from Stanford. She previously served as an environmental fellow at the Harvard University Center for the Environment, a legal fellow at the Sabin Center for Climate Change Law, and a Presidential Management Fellow with the US Navy. Her research explores climate change adaptation decision-making and evaluation: how and why communities decide when, where, and how to adapt to the effects of climate change and how decisions and decision-making processes affect risk reduction and equity. Her work has been published in journals such as Science and Climatic Change and has appeared in news outlets such as the New York Times and Science Friday.
Professor, Electrical Engineering, Biomedical Engineering
Abhyudai Singh earned his bachelor’s degree in mechanical engineering from the Indian Institute of Technology in Kanpur, India. He received master’s degrees in both mechanical and electrical & computer engineering from Michigan State University, and a master’s degree in ecology, evolution and marine biology from University of California Santa Barbara (UCSB). After earning his doctoral degree in electrical & computer engineering in 2008, also from UCSB, he completed postdoctoral work in UC San Diego’s Department of Chemistry and Biochemistry. From 2011 to 2017 he was an Assistant Professor in the Departments of Electrical & Computer Engineering, Biomedical Engineering and Mathematical Sciences at the University of Delaware, and was promoted to Associate Professor in 2017. His research interests are in dynamics, control, and identification of biomedical systems with applications to systems/synthetic biology and neuroscience.
Assistant Professor, Business Administration
Medical informatics; Data analytics; Healthcare; Reliability engineering
Junbo Son is currently an assistant professor of operations management at the University of Delaware. Junbo has strong background in advanced engineering systems and applied statistics. Junbo has been closely working with major firms in automotive industry and IT-driven healthcare companies. Also, Junbo has been involved in many statistical consulting projects in engineering and healthcare. His research has focused on business data analytics and data-driven operations management focusing on modern smart and connected systems enabled by advanced IT, efficient sensors and Internet-of-Things (IoT). The motivation and inspiration of Junbo’s research primarily come from real world business problems identified by industry collaborators. He enjoys interdisciplinary research topics based on his diverse training background and publishes his research in prestigious engineering and business journals.
multi-robot systems, robot motion planning, navigation
Herbert Tanner received his Ph.D. in mechanical engineering from the National Technical University of Athens, Greece, in 2001. After a post doc at the Department of Electrical and Systems Engineering at the University of Pennsylvania from 2001 to 2003, he joined the Department of Mechanical Engineering at the University of New Mexico, where he served as an assistant professor from 2003 to 2008. In 2008 he joined the Department of Mechanical Engineering at the University of Delaware, where he is currently a professor.
Dr. Tanner received NSF’s Career award in 2005. He is a fellow of the ASME, and a senior member of IEEE. He has served in the editorial boards of the IEEE Robotics and Automation Magazine, the IEEE Transactions on Automation Science and Engineering, and the IEEE Transactions on Automatic Control, as well as the conference editorial boards of both IEEE Control Systems and IEEE Robotics and Automation Societies.
Assistant Professor, Computer and Information Science
social network analysis, combinatorial optimization, temporal point process, graph algorithms
Dr. Tong is an assistant professor in the Department of Computer and Information Science at the University of Delaware. He is working in the area of algorithm design and machine learning with applications in social network analysis, including online misinformation, social relationship analysis, and online discussion forum modeling. He received a BS in math from Beijing Institute of Technology in 2013 and a Ph.D. in computer science from the University of Texas at Dallas in 2018.
Associate Professor, School of Marine Science and Policy
Dr. Art Trembanis is an Associate Professor at the University of Delaware, director of the CSHEL Lab, co-founder of the Robotics Discovery Laboratory and founding Director of the UD Maker Gym Initiative. Art received his undergraduate degree from Duke University, was a Fulbright fellow at Sydney University, received his Ph.D. from the College of William and Mary and was a post-doctoral at the Woods Hole Oceanographic Institution and the USGS.
Dr. Trembanis has over 18 years of experience working with autonomous underwater vehicles (AUVs) and other oceanographic field robotic systems (ROVs, USVs, UAVs). His work entails collaborative exploration of the oceans integrating geological, physical, biological, and chemical oceanography from estuaries to the outer edge of the continental shelf.
Assistant Professor, Marketing, Business Administration
Marketing, Advertising, Causal Inference, Econometrics, Energy
My goal as an empirical researcher is to apply novel analytic tools to large datasets for the pragmatic application and validation of consumer behavior & economic theories. Broadly speaking, my research employs large real-world datasets to identify factors that affect consumers’ decision-making (e.g., consumers’ limited information), and it measures the returns on marketing investments (e.g., advertising). An example, in one paper I ask: how do the changes in advertising content affect consumers’ demand and firms’ revenues? My research also quantifies the economic values of policy and market interventions, such as regulatory changes. For example, in one of my recent projects, I ask: how does the “Airbnb Law” affect the performance of hotels in the area? I employ a wide variety of methodological approaches developed in econometrics, statistics, and computer science that allow for theory testing (e.g., “Is the effect of advertising informative, persuasive, or both?”), causal inference (e.g., “Does rebranding improve a firm’s performance?”), & counterfactual simulation (e.g., “If a pharmaceutical company changed its syringe design, what would be the impact on societal cost?”).
Professor, School of Marine Science and Policy
Surface Waves, Sea Spray, Airflow Turbulence
My research interests are centered on Air-Sea interactions: Turbulence at the ocean surface; Atmospheric and oceanic boundary layers; Bubble entrainment; Generation and transport of sea spray; Rain impact on the sea surface; Wind wave generation; Wave-current interactions.
Professor and Unidel Dan Rich Chair in Energy of Chemical and Biomolecular Engineering, Chemical & Biomolecular Engineering
Director, Delaware Energy Institute
Director, Catalysis Center for Energy Innovation
Dionisios (Dion) G. Vlachos is the Allan and Myra Ferguson Professor of Chemical & Biomolecular Engineering, a Professor of Physics and Astronomy at the University of Delaware, the Director of the University of Delaware Energy Institute (UDEI), of the UD node of the manufacturing institute RAPID, and of the Catalysis Center for Energy Innovation (CCEI), an Energy Frontier Research Center (EFRC). He obtained a five-year diploma in Chemical Engineering from the National Technical University of Athens, Greece in 1987, his M.S. and Ph.D. from the University of Minnesota in 1990 and 1992 respectively, and spent a postdoctoral year at the Army High Performance Computing Research Center in Minnesota. After that, Dr. Vlachos joined the University of Massachusetts as an assistant professor, was promoted to an associate professor in 1998 and joined the University of Delaware in 2000.
Assistant Professor, Civil & Environmental Engineering
Assistant Professor, Earth Sciences
Hydrology, Ecosystem Services, Sustainable and Resilient Communities, High Throughput/Performance Computing
Dr. Voter is an Assistant Professor in the Department of Civil and Environmental Engineering and the Department of Earth Sciences. Dr. Voter’s research focuses on the challenges of sustainably managing water resources and restoring ecosystem services in a world where urbanization is expanding, agricultural demand is intensifying, and the climate is changing. Her research involves synthesizing empirical data and using physically-based hydrologic models to 1) push the boundaries of our integrated understanding of water resources and ecology, then 2) identify key ecohydrologic control points – times, places, or processes – where management actions are most effective.
Assistant Professor, Director of the Collaborative for Data Driven Action, Human Development & Family Sciences
Integrated data, research and practice partnerships, data driven policy, research to policy best practices
Dr. Laura Wallace is an Assistant Professor in the Department of Human Development and Family Sciences as well as the Director of the Collaborative for Data Driven Action (CDDA). The purpose of the CDDA is to facilitate an evidence-based system of coordinated, comprehensive services for individuals living in Delaware. It is envisioned as an integrated data system, a hub of partnerships and data, whereby effective services are coordinated among health, social service, and education agencies, and the impacts are critically monitored and improved over time using scientifically rigorous evidence. The CDDA facilitates partnerships between University of Delaware faculty and state administrators and utilizes these partnerships to develop meaningful investigations which drive and inform policy. Dr. Wallace’s research interests include: the evaluation of birth to three early intervention and prevention programs, precision home visiting practices, universal home visiting, professional education and development standard for the early care and education work force, and best practices on transitions from early care and intervention programs into school.
Professor, Management and Inofrmation Systems (MIS)
AI, Business Analytics
Dr. Harry Wang is a Full Professor of Management Information Systems at the University of Delaware with more than 15 years’ research, teaching, and management experience in AI, business intelligence and analytics, business process management, and enterprise systems. He currently also serve as the chief scientist of Tezign (a tech startup based in Shanghai, China backed by VC firms like Sequoia Capital and Hearst Ventures) and an independent director for So-Young International Inc. (NASDAQ: SY – the largest social community in China for consumers, professionals, and service providers in the medical aesthetics industry). Professor Wang was the founding director of OneConnect (NYSE: OCFT) US Research Institute based in New York City from 2018 to 2019 and the VP of Technology for the Association for Information Systems from 2015 to 2018. He was one of the founding members for the Institute for Financial Services Analytics at the University of Delaware and a JPMorgan Chase Fellow from 2014 to 2018.
Assistant Professor, Hospitality Business Management
Revenue Management; Pricing; Predictive Modeling; Consumer Behavior; Optimization
Tim Webb is an assistant professor in the Department of Hospitality Business Management in the Alfred Lerner College of Business and Economics. He earned his PhD in hospitality and tourism management from Virginia Polytechnic Institute. He’s also earned an MS in Mathematics from the University of Connecticut and a BS in Applied Mathematics from SUNY Buffalo State. Dr. Webb has several years of work experience in various analytical roles including the title of data scientist for Delaware North. His research is focused on data driven solutions for the hospitality industry and he has a vast amount of applied experience in the areas of forecasting, pricing and optimization for hospitality organizations.
Associate Professor, School of Education
Automated writing evaluation; automated essay scoring; automated feedback; writing instruction; writing assessment
Dr. Joshua Wilson is an associate professor in the School of Education at the University of Delaware. His research broadly focuses on ways to improve the teaching and learning of writing and specifically focuses on ways that automated writing evaluation systems can facilitate those improvements. His research has been supported by grants from federal, foundation, and industry sponsors and has been published in journals such as International Journal of Artificial Intelligence in Education, Computers & Education, Journal of Educational Computing Research, Journal of Educational Psychology, and Journal of School Psychology among others. Dr. Wilson sits on the editorial boards of such top journals as Assessing Writing, Journal of Educational Psychology, and Journal of Learning Disabilities.
metagenomics, bioinformatics, viral ecology, microbiology
Eric Wommack graduated Summa Cum Laude from Emory University with bachelors in Biological Sciences & Economics. Realizing that the number of economic theories always exceeds the number of economists and ignoring significant opportunity costs, he chose the more glamorous, albeit indigent, path of graduate work in the life sciences. After graduating from Emory he was awarded a Bobby Jones Fellowship to pursue a M.Sc. in Physiology under the mentorship of Prof. Ian Johnson at the University of St. Andrews, Scotland. After obtaining his M.Sc., he btained a Ph.D. exploring the role of viruses in marine ecosystems under the mentorship of Prof. Rita R. Colwell at the University of Maryland. He was awarded a National Research Council fellowship for post-doctoral work investigating microbial degradation of chiral pesticides under the mentorship of David Lewis (U.S. Environmental Protection Agency) and Prof. Robert Hodson at the University of Georgia.
Charles Black Evans Professor, Electrical and Computer Engineering
Digital Signal Processing, Wireless Communications, and Radar Imaging
Xiang-Gen Xia received his B.S. and M.S degrees in mathematics, M.S. degree in mathematics and his Ph.D. degree in electrical engineering. Prior to UD, he was a Senior/Research Staff Member at Hughes Research Laboratories, Malibu, CA. In 1996, Dr. Xia joined the UD Department of Electrical and Computer Engineering. His current research interests include space-time coding, MIMO and OFDM systems, digital signal processing, and SAR and ISAR imaging. Dr. Xia is the author of the book Modulated Coding for Intersymbol Interference Channels (New York, Marcel Dekker, 2000).
Assistant Professor, Department of Business Administration
Optimization, Machine Learning, Empirical Analysis
Dr. Zhao is an assistant professor of operations management in the Department of Business Administration at the University of Delaware. Before joining the University of Delaware, he was an assistant professor in the University of Houston. He received a Ph.D. degree in the Department of Industrial & System Engineering at the University at Buffalo. In his industrial experience, he served as a postdoctoral researcher in the Department of Business Analytics & Mathematical Sciences (BAMS) in IBM T.J. Watson research center, and then a senior operations research specialist in Advanced Analytics and Optimization Services (AAOS) in SAS.