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Faculty

The Data Science Institute brings together faculty from all seven colleges across campus to work collaboratively in a wide range of topics in foundations and applications of data science. DSI faculty at UD combine expertise in statistics, computer science, mathematics, information sciences and numerous related fields.

Leading Data Science researchers and program representatives to drive DSI mission and guide DSI operations with four Working Groups.

 

Nii Attoh-Okine
College of Engineering (COE)
Professor, Civil & Environmental Engineering
okine@udel.edu
http://www.ce.udel.edu/people/faculty-profile/?id=4

Susan Conaty-Buck
College of Health Sciences (CHS)
Assistant Professor, School of Nursing
sconaty@udel.edu
https://sites.udel.edu/nursing/susan-conaty-buck-dnp-aprn-fnp-c/

Shanshan Ding
College of Agriculture and Natural Resources (CANR)
Assistant Professor, Applied Economics and Statistics
sding@udel.edu
https://sites.google.com/a/udel.edu/sding/

Gregory Dobler
College of Arts and Sciences (CAS)
Assistant Professor, School of Public Policy & Administration; Physics
Resident Faculty Representative, DSI Faculty Council
gdobler@udel.edu
https://www.bidenschool.udel.edu/news/Pages/urban-observatory-greg-dobler.aspx

Rudolf Eigenmann
College of Engineering (COE)
Chair, Infrastructure Working Group
Professor, Electrical & Computer Engineering
eigenman@udel.edu
http://www.ece.udel.edu/research/by-faculty.Rudolf.Eigenmann.html

Xiao Fang
Alfred Lerner College of Business and Economics (CBE)
Professor, Accounting and Management Information Systems
xfang@udel.edu
http://dalab.info

John Gizis
College of Arts and Sciences (CAS)
Co-Chair, Networking & External Relations Working Group
Professor, Physics and Astronomy
gizis@udel.edu
http://www.physics.udel.edu/~gizis/

John Jeka
College of Health Sciences (CHS)
Chair, Research Working Group
Professor and Chair, Kinesiology & Applied Physiology
jjeka@udel.edu
http://jekalab.org

Dan Leathers
College of Earth, Ocean, and Environment (CEOE)
Professor, Geography
Co-Director, Delaware Environmental Observing System
Delaware State Climatologist,
leathers@udel.edu

Henry May
College of Education and Human Development (CEHD)
Co-Chair, Networking & External Relations Working Group
Associate Professor, School of Education
Director, Center for Research in Education and Social Policy
hmay@udel.edu
http://www.cresp.udel.edu/

Michael O’Neal
College of Earth, Ocean, and Environment (CEOE)
Professor, Earth Sciences
Co-Chair, Research Information Management Committee
oneal@udel.edu
http://www.maoneal.com

Louis Rossi
College of Arts and Sciences (CAS)
Chair, Training Working Group
Professor and Chair, Mathematical Sciences
rossi@udel.edu
http://www.mathsci.udel.edu/~rossi

Rodrigo Vargas
College of Agriculture and Natural Resources (CANR)
Associate Professor, Plant and Soil Sciences
rvargas@udel.edu
http://udel.edu/~rvargas/

Dion Vlachos
College of Engineering (COE)
Professor and Allan & Myra Ferguson Chair of Chemical Engineering, Chemical & Biomolecular Engineering
Director, Delaware Energy Institute
Director, Catalysis Center for Energy Innovation
vlachos@udel.edu
https://dei.udel.edu/

Cathy Wu
College of Engineering (COE), College of Arts and Sciences (CAS)
Chair, DSI Faculty Council
Professor, Computer & Information Sciences
Founding Director, Data Science Institute
wuc@udel.edu

Strategic faculty hiring across and within colleges in foundational and applications areas of data science, complementing current strengths of 100+ faculty.

 

Roghayeh (Leila) Barmaki
Assistant Professor, Computer and Information Sciences
rlb@udel.edu
https://sites.udel.edu/rlb/

Augmented Reality and Immersive Analytics, Embodied Cognition, Multimdal Machine Learning

Roghayeh (Leila) Barmaki is an Assistant Professor at the Computer and Information ‎Sciences Department and affiliated with the Data Science Institute at the University of ‎Delaware. Dr. Barmaki leads the Human-Computer Interaction Lab at the University (HCI@UD).

Her research interests span Multimodal Data Analytics, Human-Computer Interaction, Virtual and Augmented Realities with applications in Education and Healthcare.


Rahmat Beheshti
Assistant Professor, Computer and Information Sciences
rbi@udel.edu
http://sites.udel.edu/rbi

health, biomedical, artificial intelligence

Rahmat Beheshti is an assistant professor in the Data Science Institute and also the Department of Computer & Information Sciences at the University of Delaware. He has a unique interdisciplinary background by finishing his postdoctoral training in Public Health and his PhD in Computer Science and MSc in AI. He has been working in the area of Health Data Science and Biomedical Informatics for the past eight years. Specifically, he has worked extensively on two major public health epidemics: smoking and obesity, and has focused on very different aspects of these two, including the social, economic, environmental, and lately biological factors that affect these epidemics.


Federica Bianco
Assistant Professor, Physics / SPPA
fbianco@udel.edu
http://fbb.space

Astronomy Supernovae Energy Time-domain

I am a data-driven scientist working on multi-disciplinary and inter-disciplinary problems. My specialty are lightcurves, time series of light, in astronomy, with applications in stellar evolution, cosmology, and solar system science, and in the urban environment, where the study of urban lightcurves enables sociological, ecological, economic inference.

I study astrophysical transients, particularly Supernovae, exploding stars, trying to understand the progenitors of explosions from the explosion signature.

I am the Large Synoptic Survey Telescope (LSST) Science Collaborations Coordinator: in this role I facilitate the work of the international science community in preparing to the advent of the LSST revolutionary survey, which will take a movie of the entire southern hemisphere sky every three nights down to 24th magnitude depth, delivering tens of Tb of data per night.


Austin Brockmeier
Assistant Professor, Electrical and Computer Engineering, Computer and Information Sciences
ajbrock@udel.edu
https://www.eecis.udel.edu/~ajbrock/

Austin J. Brockmeier is an assistant professor in the Department of Electrical and Computer Engineering and the Department of Computer and Information Sciences, and is a resident faculty of the DSI. His research interests center on designing algorithms and models for gaining insights into complex data sets, with applications focused on biomedical signals and text mining. He has worked on machine learning methods to search and organize large collections of scientific references for evidence-based research. He has also worked on new approaches for analyzing brain waves and neural recordings for brain-machine interfaces.

He received a BS in computer engineering from the University of Nebraska–Lincoln in 2009 and a Ph.D. in electrical and computer engineering from the University of Florida in 2014. He then worked as a postdoctoral researcher at the University of Liverpool and the University of Manchester. He is a member of the IEEE and IEEE Engineering in Medicine and Biology Society.


Zachary Collier
Assistant Professor, School of Education/CRESP, Evaluation, Measurement and Statistics
collierz@udel.edu
http://www.education.udel.edu/faculty-bio/zachary-collier/

Dr. Zachary Collier holds a dual appointment as an Assistant Professor in the School of Education at the University of Delaware and the Center for Research in Education and Social Policy. Dr. Collier’s area of expertise is the advancement and application of finite mixture modeling, particularly latent class and profile analyses. He also seeks to develop effective and efficient heuristic optimization data-mining-type search algorithms in structural equation modeling and propensity score analysis for emerging data intensive applications in education. These intensive datasets include non-random attrition, incomplete longitudinal data, and selection bias.


Kyle Davis
Assistant Professor, Geography and Spatial Sciences
Assistant Professor, Plant and Soil Sciences
kfdavis@udel.edu
http://www.ceoe.udel.edu/our-people/profiles/kfdavis

sustainable agriculture; food-energy-water nexus; food security and nutrition

Dr. Kyle Davis is an Assistant Professor in the departments of Geography & Spatial Sciences and Plant & Soil Sciences whose work focuses on food systems, agricultural sustainability, and global environmental change. His current research in India, Nigeria, China, & the US combines environmental, economic, and social considerations with direct stakeholder engagement to inform agricultural decision-making and to improve nutrition, environmental sustainability, & climate adaptation strategies. He also explores other human-environment interactions through projects on: the environmental and livelihoods impacts of large-scale land investments; variability & shock propagation through food trade networks; human migration modelling as driven by anticipated climate change impacts; and farmer coping strategies for climate variability and extremes.


Gregory Dobler
Assistant Professor, School of Public Policy & Administration; Physics
Resident Faculty Representative, DSI Faculty Council
gdobler@udel.edu
https://www.bidenschool.udel.edu/news/Pages/urban-observatory-greg-dobler.aspx

Urban Science; Data Science; Complex Systems

Dr. Dobler is currently the Director of the “Urban Observatory” (UO; cuspuo.org), a multi-institutional facility designed to study complex urban systems through remote imaging. His expertise is in image analysis, computer vision, time series, statistical analysis, and mathematical modeling of large data sets. As the Director of the UO, he applies data analysis techniques from astronomy, computer vision, and machine learning to images of urban skylines to study air quality, energy consumption, lighting technology, public health, and sustainability. In addition, he has led data analysis projects related to equitable distribution of greenspaces, mapping long timescale economic trends across cities, and surrogate measures for traffic safety. Prior to his work on urban systems, Dr. Dobler was an astrophysicist specializing in multi-wavelength, full sky data sets from radio to gamma-ray energies, and led the discovery of one of the largest structures in the Milky Way.


Jing Gao
Assistant Professor of Geospatial Data Science, Geography
jinggao@udel.edu
http://www.ceoe.udel.edu/our-people/profiles/jinggao

Geospatial Data Science, Machine Learning, Human Dimensions of Global Change, Sustainability

Jing Gao is an Assistant Professor in the Department of Geography and the Data Science Institute at UD. Her research investigates large-scale human-environment interactions, especially the relationship between land use, population, and climate change. A hybrid of geographer and machine learning scientist by training, she approaches interdisciplinary scientific inquiries by integrating diverse data, methods from spatial statistics, machine learning, big data mining, geo-visualization, and remote sensing, with narrative-based scenario analyses of societal development. Her research is generating new insights on global, long-term, spatially-explicit changes in urbanization and population characteristics, extending the SSP-RCP scenario framework used by the IPCC for understanding global change issues, spearheading creative data-science practices in long-term spatially-explicit investigations of societal processes, and developing new methods for evaluating the success of such practice.


Pinki Mondal
Assistant Professor, Geography
mondalp@udel.edu
http://pinki-mondal.weebly.com/

Remote sensing; GIS; Agriculture; Forest; Climate

Dr. Pinki Mondal is an interdisciplinary geospatial scientist interested in the dynamics of coupled natural and human systems. She has a PhD in Land Change Science from the University of Florida with research focus on environmental remote sensing and Geographic Information Systems (GIS). Her research projects in India, the US, and West African countries have revolved around three themes: (a) agricultural sensitivity to climate variability, (b) adaptation strategies in smallholder agricultural systems, and (c) effects of national-level policies on forestry and conservation. Currently, her research focuses on documenting climate change impacts and adaptation in the developing countries. Prior to joining UD, she was a Senior Research Associate at Columbia University in the City of New York. She has taught several GIS-focused courses (both at undergraduate and graduate level) at institutions including Columbia University, the City University of New York, and the University of Florida.


Xi Peng
Assistant Professor, Computer and Information Sciences
xipeng@udel.edu
https://sites.google.com/site/xipengcshomepage

Deep Learning, Transfer Learning, Explainable AI, Human-centered AI

Dr. Xi Peng works in the area of Machine Learning, Deep Learning, and Computer Vision. His research focuses on structure and model-oriented deep learning. The goal is to develop frontier AI systems that are not only robust to unknown but also explainable for human.

Currently, he is making efforts to cross-disciplinary data analytics including workspace safety enhancement (biomechanics), biomarker based pain prediction (biochemistry), and multimodal human behavior analysis (psychology/linguistics).

He received the Ph.D. degree in Computer Science from Rutgers University in 2018. He was a research intern at NEC Labs America in 2016, a research intern at IBM T.J. Watson Research Center in 2015, and a full-time engineer at Baidu Research in 2011.


Cencheng Shen
Assistant Professor, Applied Economics and Statistics
shenc@udel.edu
https://sites.udel.edu/shenc/

Cencheng Shen received the BS degree in Quantitative Finance from National University of Singapore in 2010, and the PhD degree in Applied Mathematics and Statistics from Johns Hopkins University in 2015. He worked as a visiting assistant professor in the Department of Statistical Science at Temple University from 2015 to 2016, re-joined Johns Hopkins University as an assistant research scientist in The Center for Imaging Science from 2016 to 2018, and is currently an assistant professor in the Department of Applied Economics and Statistics at University of Delaware. His research has been funded by NSF DMS, DARPA SIMPLEX, and DARPA L2M.


Xiugang Wu
Assistant Professor, Electrical and Computer Engineering, Computer and Information Sciences
xwu@udel.edu
https://www.eecis.udel.edu/~xwu/

Xiugang Wu is an assistant professor at the University of Delaware, jointly appointed in Electrical and Computer Engineering, and Computer and Information Sciences. Previously, he was a postdoctoral fellow in Electrical Engineering at Stanford University, and received his Ph.D. degree in Electrical and Computer Engineering from the University of Waterloo. His research interests are in information theory, networks, data science, and the interplay between them. He is a recipient of the 2017 NSF Center for Science of Information (CSoI) Postdoctoral Fellowship.


Data Science related faculty from UD and affiliated institutions.

 

Saleem Ali
Blue and Gold Distinguished Professor, Geography and Biden School of Public Policy and Administration
saleem@udel.edu
https://www.ceoe.udel.edu/our-people/profiles/saleem

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).


Gonzalo Arce
Charles Black Evans Professor and JPMorgan Chase Faculty Fellow, Electrical and Computer Engineering
arce@udel.edu
https://www.eecis.udel.edu/~arce/

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.


Benjamin Bagozzi
Associate Professor, Political Science & International Relations
bagozzib@udel.edu
https://www.benjaminbagozzi.com/

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.


Kenneth Barner
Charles Black Evans Prof. & Chair, Electrical and Computer Engineering
barner@udel.edu
https://www.eecis.udel.edu/~barner/

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.


Srikanth Beldona
Professor & Graduate Director, Hospitality Business Management
beldona@udel.edu
https://lerner.udel.edu/faculty-staff-directory/srikanth-beldona/

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.


Libbey Bowen
Associate Professor, School of Nursing
mebowen@udel.edu
https://sites.udel.edu/nursing/directory/mary-elizabeth-bowen/

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.


Richard Braun
Professor, Mathematical Sciences
rjbraun@udel.edu
https://www.mathsci.udel.edu/people/faculty/rjbraun

tear film

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.


Jeffrey Buler
Associate Professor, Entomology and Wildlife Ecology
jbuler@udel.edu
https://canr.udel.edu/faculty/buler-jeffrey/

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.


Sunita Chandrasekaran
Assistant Professor, Department of Computer and Information Sciences
schandra@udel.edu
https://www.eecis.udel.edu/~schandra/

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.


Director of IFSA and FSAN program


Chuming Chen
Associate Professor, Department of Computer & Information Sciences
chenc@udel.edu
https://www.eecis.udel.edu/~chenc/

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.


Adam Davey
Professor, Behavioral Health and Nutrition
Graduate Director, Health Behavior Science Programs
davey@udel.edu
https://sites.udel.edu/bhan/about/directory/davey/

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.


Tracy DeLiberty
Associate Professor, Geography
tracyd@udel.edu
http://www.ceoe.udel.edu/our-people/profiles/tracyd

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.


Prasad Dhurjati
Professor, Chemical and Biomolecular Engineering
dhurjati@udel.edu
http://www.che.udel.edu/dhurjati

Microbiome Data Analysis, Systems Medicine, Mathematical Modeling

Dr. Prasad Dhurjati is a Professor of Chemical & Biomolecular Engineering with joint appointments in the Department of Mathematical Sciences and Biological Sciences at the UD. His research specialization is in Biotechnology, Artificial Intelligence, Systems Biology and Systems Medicine. He is the author of over 130 research publications in leading journals with a total of over 3200 citations, a Hirsch index of 32 and an i10 index of 57. He has mentored 20 Doctoral and Masters students, 20 postdoctoral associates and over 100 undergraduate research theses. His students have been very successful in industry (Merck, Dow, Abbot, DuPont, Gore, etc.) and in academia. In 1988-89, he was a visiting sabbatical scientist at the Pasteur Institute in Paris, France. He has also been a visiting professor at the University of Lyon, France, at VNIT, Nagpur, India and at University of Toronto, Canada. He was elected a Fellow of the American Institute of Medical and Biological Engineering in 2004.


Vu Dinh
Assistant Professor, Department of Mathematical Sciences
vucdinh@udel.edu
http://vucdinh.github.io/

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).


Tobin Driscoll
Professor, Department of Mathematical Sciences
driscoll@udel.edu
http://tobydriscoll.net

scientific computing

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.


Dawn Fallik
Associate Professor, English
dfallik@udel.edu
http://www.dawnfallik.com

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.”


Hui Fang
Associate Professor, Electrical and Computer Engineering
hfang@udel.edu
https://www.eecis.udel.edu/~hfang/

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.


Chad Forbes
Associate Professor, Social Area Program Director, Psychological and Brain Sciences
ceforbes@udel.edu
https://sites.udel.edu/forbessocialneurolab/

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.


Javier Garcia-Frias
Professor, Electrical and Computer Engineering
jgf@udel.edu
https://www.eecis.udel.edu/~jgarcia/

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.


Chad Giusti
Assistant Professor, Mathematical Sciences
cgiusti@udel.edu
http://www.chadgiusti.com

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.


Jodi Hadden-Perilla
Assistant Professor, Department of Chemistry & Biochemistry
jhadden@udel.edu
https://sites.udel.edu/jhadden/

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.


Lindsay Hoffman
Associate Professor, Communication
lindsayh@udel.edu
https://www.cpc.udel.edu/about-us/people/leadership/lindsayh

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.


Jennifer Horney
Professor and Director, Epidemiology
horney@udel.edu
https://www.udel.edu/faculty-staff/experts/jennifer-horney/

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.


Medina Jackson-Browne
Assistant Professor, Epidemiology
mjbrowne@udel.edu
https://sites.udel.edu/epidemiology/faculty/

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.


Allison Karpyn
Associate Director, Center for Research in Education & Social Policy
Assistant Professor, Education, Behavioral Health & Nutrition
Karpyn@udel.edu
http://www.cresp.udel.edu

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.


Li Liao
Associate Professor, Computer and Information Sciences
liliao@udel.edu
https://www.eecis.udel.edu/~lliao/

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.


Jing Ma
Assistant Professor, Department of Hospitality Business Management
jingma@udel.edu
https://lerner.udel.edu/faculty-staff-directory/jing-ma/

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.


Lena Mashayekhy
Assistant Professor, Department of Computer & Information Sciences
mlena@udel.edu
http://www.eecis.udel.edu/lena/

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.


John McNutt
Professor, School of Public Policy & Administration
mcnuttjg@udel.edu
https://www.sppa.udel.edu/people/faculty/mcnuttjg

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.


Suzanne Milbourne
Research Advancement Associate, Research Office
suzanne@udel.edu

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.


Juan Perilla
Assistant Professor, Chemistry & Biochemistry
jperilla@udel.edu
http://biophysics.chem.udel.edu

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.


Shawn Polson
Associate Professor, Computer and Information Sciences
Director, CBCB Bioinformatics Core Facility
polson@dbi.udel.edu
https://bioinformatics.udel.edu/people/personnel/polson/

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.


Thomas M Powers
Associate Professor, Philosophy
Director, Center for Science, Ethics & Public Policy
tpowers@udel.edu
http://udel.edu/~tpowers/

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.


Wei Qian
Assistant Professor, Applied Economics and Statistics
weiqian@udel.edu
https://sites.google.com/a/udel.edu/weiqian/

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.


Jing Qiu
Associate Professor, Applied Economics and Statistics
qiujing@udel.edu
https://canr.udel.edu/faculty/jing-qiu/

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.


Teomara (Teya) Rutherford
Assistant Professor, School of Education
teomara@udel.edu
https://rutherfordlab.wordpress.com/

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.


Gilberto Schleiniger
Associate Professor of Mathematics, Mathematical Sciences
schleini@udel.edu
https://www.mathsci.udel.edu/people/faculty/schleini

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.


Zvi Schwartz
Professor, Hospitality Business Management
zvi@udel.edu
https://lerner.udel.edu/faculty-staff-directory/zvi-schwartz/

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.


Hagit Shatkay
Professor, Computer and Information Sciences
shatkay@udel.edu
https://www.eecis.udel.edu/~shatkay/

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.


Abhyudai Singh
Associate Professor, Electrical Engineering, Biomedical Engineering
absingh@udel.edu
http://udel.edu/~absingh/

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.


Bert Tanner
Professor, Mechanical Engineering
btanner@udel.edu
http://research.me.udel.edu/~btanner

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.


Guangmo (Amo) Tong
Assistant Professor, Computer and Information Science
amotong@udel.edu
http://udel.edu/~amotong/

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.


Art Trembanis
Associate Professor, School of Marine Science and Policy
art@udel.edu
https://www.ceoe.udel.edu/our-people/profiles/art

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.


Fabrice Veron
Professor, School of Marine Science and Policy
fveron@udel.edu
http://www1.udel.edu/ASI-Lab/

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.


Timothy Webb
Assistant Professor, Hospitality Business Management
twebb@udel.edu
https://lerner.udel.edu/faculty-staff-directory/tim-webb/

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.


Randall Wisser
Associate Professor, Plant & Soil Sciences
rjw@udel.edu
https://sites.udel.edu/wisserlab/

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.


K Eric Wommack
Professor, Plant and Soil Sciences
wommack@udel.edu
http://virome.dbi.udel.edu

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.


Xiao-Hai Yan
Mary A. S. Lighthipe Chair Professor, School of Marine Science and Policy
xiaohai@udel.edu
http://www.ceoe.udel.edu/our-people/profiles/xiaohai

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


Data Science related professionals outside of UD.

 

Haider Ali
CEO and Founder, Crowdception Inc.
Assistant Professor, Data Science Institute
haiderali1978@gmail.com
https://crowdception.com/about-us/

Helping society through artificial intelligence technologies

Dr. Haider Ali is an Adjunct Faculty (Assistant Professor) in the Data Science Institute at the University of Delaware. He is also a CEO and Founder of the Crowdception Inc. with over 15 years of extensive professional experience (mainly research and development in Computer Vision, Machine Learning, Applied AI, Robotics and Knowledge Based Systems) in Asia, Europe and the United States of America. Prior to joining the University of Delaware, he was an Assistant Research Professor in the Department of Computer Science at the Johns Hopkins University until April, 2019. He was an Associate Research Scientist at Center for Imaging Science (CIS), JHU from 2017-2018 and a Senior Research Scientist at the Institute of Robotics and Mechatronics (RM) of the German Aerospace Center (DLR), Germany from 2011-2017. He received his Ph.D. in Computer Science at Vienna University of Technology, Austria in 2010.


Moumita Bhattacharya
Senior Data Scientist, Etsy Inc.
moumitab@udel.edu
https://sites.google.com/udel.edu/moumitabhattacharya

Class Imbalance, Big Data, Recommendation Systems, Search Ranking

My research interests lie in developing and applying machine learning methods to solve impactful real-world problems. During my PhD, I developed machine learning models for prediction of health outcomes by analyzing highly heterogeneous structured and unstructured patient data. Such models can assist healthcare providers in clinical decision making by predicting onset of disease or an adverse event such as hospitalization. I have obtained a number of promising results, including predicting the risk of hospitalization among kidney patients, detecting chronic kidney disease severity-levels from standard office visit records, developing a recommendation system to identify co-occurring medical conditions among kidney patients, and identifying several novel risk factors of hypertrophic cardiomyopathy. I am a Senior Data Scientist at Etsy, working in the area of optimization and big data. I focus on developing novel recommendations and search ranking methods to improve product relevance.


Hacene Boukari
Adjunct Faculty, Delaware State University
hboukari@desu.edu
https://cast.desu.edu/about/faculty-profiles/hacene-boukari-phd

Imaging, Spectroscopy, biophysics, Nanotransport

Hacene Boukari, PhD, is Professor of physics at Delaware State University (DSU), Dover, Delaware. He obtained his PhD degree in Chemical Physics from the University of Maryland. His career started while working on a 22-million-dollar NASA project (Zeno Experiment) to build a spectrometer for studying superfluid xenon in microgravity aboard the NASA space-shuttle. Before joining DSU (2010), he held several positions, including Scientist at NIH, Guest Researcher at NIST, and Postdoctoral Fellow at University of Maryland. He worked on diverse projects, including understanding the transport properties of supercritical fluids, determining interactions of biopolymers and cells, and probing diffusion of nanoparticles in biological media. His current work focuses on advancing novel optical and imaging techniques to investigate the behavior of biomacromolecules in cellular systems. He received the researcher award from NASA and the DSU research and service awards.


Karthik Devarajan
Associate Research Professor, Fox Chase Cancer Center, Temple University Health System
karthik.devarajan@fccc.edu
http://www.fccc.edu/research/pid/devarajan/

statistical machine learning, bioinformatics, survival analysis, data mining, high-dimensional data analysis

Dr. Devarajan is an Associate Research Professor in the Department of Biostatistics & Bioinformatics at Fox Chase Cancer Center (FCCC) and an affiliated faculty member in the Center for High-dimensional Statistics at Temple University’s Big Data Institute. His primary research interests encompass statistical machine learning & data science with applications in bioinformatics, neuroscience, medicine & natural language processing. It spans unsupervised and supervised learning, as well as survival analysis, and primarily focuses on the development of statistical and computational approaches to analyze massive data sets generated in these areas. Dr. Devarajan is a member of the Research Review Committee and serves as the Vice Chair of the Data Safety and Monitoring Board at FCCC. Prior to joining FCCC, Dr. Devarajan held research positions at Bristol-Myers Squibb Pharmaceutical Research Institute in Princeton, NJ and the Cancer Bioinformatics Group at AstraZeneca Pharmaceuticals in Boston.


Zugui Zhang
Thomas Jefferson University, Research Assistant Professor
Director of Biostatistics, Christiana Care Health System
zuguiz@udel.edu
https://research.christianacare.org/valueinstitute/people/zugui-zhang-ph-d/

Biostatistics, public health, health economics, bioinformatics, data analysis

As director of biostatistics at the Christiana Care Health System, I carried out study design, methodology research, data analysis, writing drafts as the lead author for peer reviewed research papers, and teaching courses. I published manuscripts in New England Journal of Medicine, Journal of American Medicine, JACC, Circulation, Journal of Clinical Hypertension, The Canadian Journal of Cardiology, among others. My work and papers have been widely reported via media and cited in academic journals. I have worked extensively on several large, international, multi-center, randomized clinical trials, including the Clinical Outcomes Utilizing Revascularization and Aggressive Drug Evaluation, the Enoxaparin and Thrombolysis Reperfusion for Acute Myocardial Infarction Treatment, American College of Cardiology Foundation-The Society of Thoracic Surgeons Collaboration on the Comparative Effectiveness of Revascularization Strategies, Systolic Blood Pressure Intervention Trial, and Individual Breastfeeding Support with Incentives for Low-income Mothers.


Our Mission

The Institute aims to accelerate research in data science, serving as a nucleating effort to catalyze interdisciplinary research collaborations across fields impacting our society.