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Faculty Council

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

 


Benjamin Bagozzi
College of Arts and Sciences (CAS)
Co-Chair, Research Working Group
Associate Professor, Political Science & International Relations
bagozzib@udel.edu
https://www.benjaminbagozzi.com/

Text-as-Data; Politics; Environment; Social Science; Violence

Benjamin Bagozzi is an Associate Professor in the Department of Political Science & International Relations at UD. He also leads the Social Analytics Data Lab (SADL) and is Assistant Director of the Master of Science in Data Science program. His primary areas of specialization are political methodology and international relations. Within international relations, his research and teaching interests include environmental politics, human rights, and the study of political violence. Methodologically, he teaches and conducts research in computational social science, text-as-data, and political event data. His research has been funded by the National Science Foundation, the Knight Foundation, and the Department of Defense, among others.


Jeffrey Buler
College of Agriculture and Natural Resources (CANR)
Professor, Entomology and Wildlife Ecology
jbuler@udel.edu
https://canr.udel.edu/faculty/buler-jeffrey/

Ecological modeling, Remote sensing, Ornithology

Jeff Buler is a Professor of Wildlife Ecology at the University of Delaware (UD). He earned his Ph.D. degree in biology from the University of Southern Mississippi and M.S. degree in wildlife from Louisiana State University. He established the Aeroecology Program at UD in 2011 and has lead the development of novel methods and software to use the national network of weather surveillance radars to study the broad-scale distribution, movement, and habitat use patterns of birds, insects, and bats. His general research interests include 1) modeling wildlife species distributions and habitat relationships over broad geographic scales, 2) assessing wildlife response to habitat restoration/management and anthropogenic development, and 3) studying the behavior and ecology of birds during migration.


Sunita Chandrasekaran
College of Engineering (COE)
Associate Professor, Department of Computer and Information Sciences
schandra@udel.edu
https://www.eecis.udel.edu/~schandra/

High Performance Computing, Machine Learning, Interdisciplinary Science

Sunita Chandrasekaran is an Associate Professor with the Department of Computer and Information Sciences at the University of Delaware, USA. She is also a computational scientist with Brookhaven National Laboratory. She received her Ph.D. in 2012 on Tools and Algorithms for High-Level Algorithm Mapping to FPGAs from the School of Computer Science and Engineering, Nanyang Technological University, Singapore. Her research spans High Performance Computing, exascale computing, parallel programming, benchmarking and data science. Applications of interest include scientific domains such as plasma physics, biophysics, solar physics and bioinformatics. She is a recipient of the 2016 IEEE-CS TCHPC Award for Excellence for Early Career Researchers in High Performance Computing and other SPEC HPG awards.


Bintong Chen
Alfred Lerner College of Business and Economics (CBE)
Professor, Business Administration
bchen@udel.edu
https://lerner.udel.edu/faculty-staff-directory/bintong-chen/

Director of IFSA and FSAN program


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

Adam Davey
College of Health Sciences (CHS)
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.


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

Shanshan Ding is an Associate Professor of Statistics in the Department of Applied Economics and Statistics at the University of Delaware. She is a faculty council member at the Data Science Institute, and an affiliated faculty member with the Center for Bioinformatics and Computational Biology and the Center for Experimental and Applied Economics at UD. Prior to joining UD, She received her PhD degree in Statistics from the University of Minnesota-Twin Cities. Her research interests include dimension reduction, high dimensional and big data, statistical machine learning, statistical foundations of data science, application problems stemming from online learning, network data, bioinformatics, neuroimaging, biomedical and environmental sciences.


Gregory Dobler
Biden School of Public Policy and Administration, College of Arts and Sciences (CAS)
Associate Professor, Public Policy & Administration
Associate Professor, Physics & Astronomy
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.


Rudolf Eigenmann
College of Engineering (COE)
Chair, Infrastructure Working Group
Professor, Electrical & Computer Engineering
Director, Center for Data-intensive and Computational Science (DiCoS),
eigenman@udel.edu
http://www.ece.udel.edu/research/by-faculty.Rudolf.Eigenmann.html

high-performance computing, parallel programming methods and tools

Rudolf (Rudi) Eigenmann came to the University of Delaware in2017 from Purdue University, where he was a Professor in the School of Electrical and Computer Engineering. From 2013-2017, he has also served as Program Director in the National Science Foundation’s Office of Advanced Cyberinfrastructure. His core research interests include optimizing compilers, programming methodologies, tools, and performance evaluation for high-performance computing, as well as the design of cyberinfrastructure. Dr. Eigenmann received his Ph.D. in Electrical Engineering/Computer Science from ETH Zurich, Switzerland.


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

Machine Learning/AI, Business Analytics, Data Science, Social Network Analytics, FinTech

Xiao Fang is Professor of MIS and JPMorgan Chase Senior Fellow at Lerner College of Business & Economics and Institute for Financial Services Analytics, University of Delaware. His current research focuses on financial technology, social network analytics, and health care analytics, with methods and tools drawn from reference disciplines including Computer Science (e.g., Machine Learning) and Management Science (e.g., Optimization). Professor Fang co-founded INFORMS Workshop on Data Science in 2017. He currently serves as an Associate Editor for INFORMS Journal on Data Science.


Adam Fleischhacker
Alfred Lerner College of Business and Economics (CBE)
Associate Professor of Operations Management, Business Administration
ajf@udel.edu
http://www.causact.com

Bayesian Data Science

Adam Fleischhacker is an Associate Professor of Operations Management at the University of Delaware. After a highly successful industry career designing supply chain software, he earned his Ph.D. in supply chain management from Rutgers University in 2009. His current research focuses on unifying narrative, math, and code to accelerate Bayesian-based analytics workflows. He has made these concepts student-accessible in his textbooks, “A Business Analyst’s Introduction to Business Analytics”, and “Persuasive Python” (forthcoming).


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

astronomy, physics, astrophysics, LSST

John Gizis is an observational astronomer in the Department of Physics and Astronomy and co-chair of the Large Synoptic Survey Telescope (LSST) Stars, Milky Way and Local Volume science Collaboration. The LSST will collect 15 terabytes of optical astronomy data per night and a key example of how astronomy is being transformed by the need for new data science methodology.


Arthi Jayaraman
College of Engineering (COE)
Professor, Chemical and Biomolecular Engineering
Professor, Materials Science and Engineering
arthij@udel.edu
https://www.che.udel.edu/people/faculty/arthij/

Soft Materials, Polymers, Computational Materials Design

Arthi Jayaraman is a Professor in Chemical and Biomolecular Engineering and Materials Science and Engineering at the University of Delaware. She is also an editor for two ACS journals – Macromolecules and ACS Polymers Au. She received her Ph.D. in Chemical Engineering from North Carolina State University and conducted her postdoctoral research in Materials Science and Engineering at UIUC. After holding the position of Patten Assistant Professor in Chemical and Biological Engineering at University of Colorado (CU) at Boulder, in 2014 she joined UD. Her research expertise is in the development of modeling, theory, simulation, and machine learning methods and their application to study synthetic and biologically relevant soft materials. Her research has been recognized with the AIChE COMSEF Impact Award (2021), American Physical Society (APS) Fellowship (2020), Dudley Saville Lectureship at Princeton University (2016), ACS PMSE Young Investigator (2014), AIChE COMSEF division Young Investigator Award (2013), CU Provost Faculty Achievement Award (2013), and the DOE Early Career Research Award (2010).


Dan Leathers
College of Earth, Ocean, and Environment (CEOE)
Professor, Geography and Spatial Sciences
Director, Center for Environmental Monitoring and Analysis
Delaware State Climatologist,
leathers@udel.edu

environmental, sensing, data integration

Dr. Leathers serves as a Professor in UD’s Department of Geography, as Delaware’s State Climatologist, Director of the Center for Environmental Monitoring (CEMA) and analysis, Director of the Meteorology/Climatology Program, and is the co-Founder and Associate Director of the Delaware Environmental Observing System (DEOS). He has also served as the Chair of the Department of Geography and as Deputy Dean of the College of Earth, Ocean, and Environment. His major research interests include understanding the role of snow cover in the global climate system, and environmental monitoring.


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/

Conduct rigorous research, program evaluation, policy analysis

Henry May, Ph.D. is director of CRESP and associate professor in the College of Education and Human Development at the University of Delaware. Prior to joining the UD faculty in 2012, Dr. May spent 14 years as a policy researcher at the University of Pennsylvania, including 10 years as a senior researcher and statistician at the Consortium for Policy Research in Education (CPRE). He has served as principal investigator or co-PI on several large-scale studies in educational settings, many of which involved mixed-methods randomized field trials. Dr. May has taught advanced statistics courses to graduate students at the University of Pennsylvania and the University of Delaware.


Thomas M Powers
College of Arts and Sciences (CAS)
Associate Professor, Philosophy Dept. and Biden School, and Director of CSEPP, Philosophy
Director, Center for Science, Ethics & Public Policy
tpowers@udel.edu
http://udel.edu/~tpowers/

Ethics of AI, Machine Ethics, Research Ethics

Thomas M. Powers received a B.A. from the College of William and Mary and a Ph.D. from the University of Texas at Austin. He has been a DAAD-Fulbright fellow at the Ludwig-Maximilians-Universität in Munich, Germany, an NSF research fellow in the School of Engineering and Applied Science at the University of Virginia, and a visiting researcher in the LIP6 (informatics laboratory) at the Sorbonne University in Paris, France. He is currently Associate Professor of Philosophy and the founding director of the Center for Science, Ethics, and Public Policy at the University of Delaware, and a faculty affiliate of the Data Science Institute, the Delaware Biotechnology Institute, the Sociotechnical Systems Center, and the Center for Autonomous and Robotics Systems, all at UD. His research and teaching focuses on ethics in science and in information technologies.


Art Trembanis
College of Earth, Ocean, and Environment (CEOE)
Professor, School of Marine Science and Policy
art@udel.edu
https://sites.udel.edu/ceoe-art/

Deep Learning, marine robotics, geophysical sensors

Art Trembanis is a professor of oceanographer at the University of Delaware where he develops and utilizes advanced autonomous systems to map and explore oceans and lakes around the world filling in blank spots on the map. For more than 20 years he has specialized in the use and development of advanced technologies for seafloor mapping particularly AUVs (autonomous underwater vehicles) and geophysical sensors used to map and locate shipwrecks and aircraft wreckage. He is a fellow of the Explorers Club and has led seafloor mapping expeditions in locations around the world utilizing . Exploration projects have included discoveries of ancient shipwrecks to modern aircraft and studies of seafloor scour and object detection. He is the Deputy Director for the Center for Autonomous and Robotic systems and co-founder of the Robotic Discovery Laboratory.


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

biogeosciences, ecosystem ecology, environmental networks, climate change, environmental data science

Rodrigo Vargas is a Professor in the Department of Plant and Soil Sciences at UD. He has developed an active interdisciplinary and internationally recognized research program focused on advancing carbon cycle science. He studies soil-plant-atmosphere interactions to understand and quantify the response of ecosystems to management, extreme events (e.g., hurricanes), and global environmental change. Dr. Vargas applies a wide range of data analytics, time series analysis, and machine learning approaches to understand carbon dynamics across different spatial and temporal scales. He believes that information should be transferable, as well as easily searchable, shareable, and applicable in decision-making across different scientific domains and stakeholders. He completed his PhD at UC-Riverside and a postdoc at UC-Berkeley.


Laura Wallace
College of Education and Human Development (CEHD)
Assistant Professor, Director of the Collaborative for Data Driven Action, Human Development & Family Sciences
lwalla@udel.edu

Integrated data, research and practice partnerships, data driven policy, research to policy best practices

Dr. Laura Wallace is an Assistant Professor in the Department of Human Development and Family Sciences as well as the Director of the Collaborative for Data Driven Action (CDDA). The purpose of the CDDA is to facilitate an evidence-based system of coordinated, comprehensive services for individuals living in Delaware. It is envisioned as an integrated data system, a hub of partnerships and data, whereby effective services are coordinated among health, social service, and education agencies, and the impacts are critically monitored and improved over time using scientifically rigorous evidence. The CDDA facilitates partnerships between University of Delaware faculty and state administrators and utilizes these partnerships to develop meaningful investigations which drive and inform policy. Dr. Wallace’s research interests include: the evaluation of birth to three early intervention and prevention programs, precision home visiting practices, universal home visiting, professional education and development standard for the early care and education work force, and best practices on transitions from early care and intervention programs into school.


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

Computational Biology and Bioinformatics Data Science: Protein Informatics, Biological Text Mining and and Natural Language Processing, Ontology and Semantic Computing, Gene-Disease-Drug Knowledge Network Analytics, Artificial Neural Networks and Machine Learning, Cyberinfrastructure


Xiao-Hai Yan
College of Earth, Ocean, and Environment (CEOE)
Mary A. S. Lighthipe Chair Professor, School of Marine Science and Policy
Director, Center for Remote Sensing, University of Delaware,
xiaohai@udel.edu
http://www.ceoe.udel.edu/our-people/profiles/xiaohai

Ocean Remote Sensing, Climate Change, AI, Deep Learning, Remote Sensing Big Data, Coastal and Physical Oceanography

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

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.