Data Science related faculty from UD and affiliated institutions.
Blue and Gold Distinguished Professor, Geography and Biden School of Public Policy and 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.
Associate Professor, Political Science & International Relations
Text-as-Data; Politics; Environment; Social; Violence
Dr. Benjamin Bagozzi is an Assistant Professor of Political Science and International Relations at the University of Delaware. His research interests lie in the application of automated text-analysis and statistical methods to the study of international relations, political violence, and comparative politics. He has published articles on these topics in journals such as The Journal of Politics, Political Analysis, and The Journal of Conflict Resolution. He currently serves as a co-investigator on an NSF-RIDIR award that seeks to modernize the infrastructure and validity of political event data for big data social science research. He is also currently a co-PI on an NSF-DMS award related to the development of spatio-temporal algorithms for threat detection in contexts of big social data.
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, 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.
Associate Professor, Entomology and Wildlife Ecology
Ecological modeling, Remote sensing, Ornithology
Jeff Buler is an Associate 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.
Assistant 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.
Professor, Business Administration
Director of IFSA and FSAN program
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
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).
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.
journalism, data analysis, loneliness
As a reporter, Dawn Fallik has covered a Super Bowl, an execution and spent a month in India reporting on the tsunami. She has a master’s in data analysis and was co-director of the National Institute of Computer-Assisted Reporting at the University of Missouri. 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 working on a book about the medical ramifications of chronic loneliness called “Generation Lonely: 10,000 Followers and No Friends.”
Associate Professor, Electrical and Computer Engineering
I am an Associate 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.
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; Hurricane; Public Health; Epidemiology
Jennifer Horney is Professor and Founding Director of the Program in Epidemiology and Core Faculty at the Disaster Research Center at UD. Dr. Horney’s research focuses on measuring the health impacts of disasters, as well as the linkages between disaster planning and household actions related to preparedness, response, and recovery. She received her PhD and MPH from the UNC at Chapel Hill, where her research focused on the role of social factors in decision making during disasters. She currently leads research projects funded by the NIEHS, NSF, National Oceanic and Atmospheric Administration, the National Academies of Sciences, the Department of Homeland Security 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.
Assistant Professor, Epidemiology
environmental health, epidemiology, children, allergic diseases
Medina Jackson-Browne is an assistant professor in the new program in Epidemiology at the College of Health Sciences. Dr. Jackson-Browne received her PhD in Environmental Health Sciences from the Mailman School of Public Health at Columbia University. Previously, she was a postdoctoral research scholar in the Department of Epidemiology at the Brown University School of Public Health. Her primary research focus is understanding the effects of exposure to environmental chemicals, particularly during gestation and in early childhood, on the alteration of immune function and the development of allergic diseases in children. She recently completed a NIEHS F32 Fellowship award examining the impact of perinatal triclosan exposure on the development of asthma and eczema in children.
Professor, Chemical and Biomolecular Engineering
Professor, Materials Science and Engineering
Soft Materials, Polymers, Computational Materials Design
Professor Arthi Jayaraman received her B.E (Honors) degree in Chemical Engineering from Birla Institute of Technology and Science, Pilani, India in 2000. She received her Ph.D. in Chemical and Biomolecular Engineering from North Carolina State University in 2006, and from 2006-2008 conducted her postdoctoral research in the department of Materials Science and Engineering at University of Illinois-Urbana Champaign. In August 2008, she joined the faculty of the Department of Chemical and Biological Engineering at University of Colorado at Boulder, and held the position of Patten Assistant Professor. In August 2014, she joined the faculty at the University of Delaware in the Department of Chemical and Biomolecular Engineering and Department of Materials Science and Engineering. Her research expertise lies in development of models, theory and simulation techniques and application of these computational methods to design materials made of synthetic and biologically relevant polymers for energy, biomedical, optics, sensing, separations and other applications.
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.
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.
Assistant Professor, Department of Computer & Information Sciences
Lena Mashayekhy is an assistant 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.
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.
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.
Assistant 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 Education
educational technology, learning sciences, data-intensive methods
Dr. Teomara (Teya) Rutherford is an Assistant 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 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.
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.
Professor, Computer and Information Sciences
Computational Biology, Medical Informatics, Bioinformatics, Machine Learning, Data and Text Mining
Hagit Shatkay directs the Computational Biomedicine and Machine Learning Lab at the CIS Dept. with cross-appointments in Biomedical Engineering at DBI. She holds a PhD in Computer Science from Brown University. Prior to joining academia in 2004, she has been an IRTA postdoctoral fellow at NCBI and an Informatics Research Scientist at Celera Genomics. Her research is in the area of machine learning as it applies to biomedical and clinical data and text mining. She has been an active member and a leader of the bio-text research community since its early days, and one of the first to integrate text, image and sequence data within biomedical data mining. Recent major projects in her lab include research toward understanding and predicting heart and kidney disease from multiple data sources, prediction of drug-drug interaction and protein location from text and sequence data, and document retrieval through image and text data. She is the author of numerous influential publications.
Associate 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.
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.
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, Plant & Soil Sciences
Complex Traits; Disease Resistance; Response to Selection; Adaptation
Dr. Randall J. Wisser is an associate professor in the Department of Plant and Soil Sciences at the University of Delaware. He received his Ph.D. in plant breeding and genetics from Cornell University, followed by postdoctoral training in quantitative genetics at North Carolina State University. The Wisser laboratory studies the genomic and mechanistic basis of quantitative trait variation and how this knowledge can be leveraged for crop improvement, with research topics encompassing the genetics of complex traits, response to selection, environmental adaptation and plant-pathogen interactions.
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.
Mary A. S. Lighthipe Chair Professor, School of Marine Science and Policy
Ocean Remote Sensing, Climate Change, AI, Deep Learning, Remote Sensing Big Data
Xiao-Hai Yan, Director of the Center for Remote Sensing at University of Delaware (UD), has been appointed the Mary A. S. Lighthipe Chair Professor in 2004. Since he joined the UD faculty in 1990, Yan has pioneered the use of satellites in tracking a wide range of ocean and coastal phenomena, from El Niño to oil spills. In 1992, Yan was the first scientist to show that satellite images, in addition to actual temperatures of the sea surface, could be used to precisely determine the size and location of the Western Pacific Warm Pool, a body of water the size of Africa, spanning the equator from the western Pacific to the Indian Ocean. It holds the warmest seawater in the world. Fluctuations in the warm pool’s temperature have been linked to the onset of El Niño and other large-scale climate events. Yan’s results were published by Science magazine, as well as a range of U.S. and international news media, and have since become a classic reference in climate studies. Y