Adrian Dobra is the Program Chair for the Master of Science in Data Science program. He is an Associate Professor in the Department of Statistics and core faculty in the Center for Statistics and the Social Sciences. His research focuses on the development of high-dimensional multivariate spatiotemporal models, variable and model selection, and graphical models.
Interdisciplinary Data Science Group
The Interdisciplinary Data Science Group provides strategic guidance on the direction of the Master of Science in Data Science program. It includes faculty representatives from each of the six departments and schools that have collaborated to offer the MSDS degree.
Cecilia Aragon
Professor, Department of Human Centered Design & Engineering
Research: Human-centered data science, computer-supported cooperative work, and the statistical and computational techniques of data science.
Patrick Heagerty
Professor and Chair, Department of Biostatistics
Research: Biomarkers, Longitudinal and Multilevel Data, Correlated Data, Epidemiology, Longitudinal Data Analysis, Statistical Computing
Bill Howe
Associate Professor, Information School
Research: Data science, Database models and languages, Machine learning, visualization, HCI, and high-performance computing.
J. Nathan Kutz
Robert Bolles and Yasuko Endo Professor, Department of Applied Mathematics, Adjunct Professor of Electrical Engineering and Physics
Research: Data Science, Machine Learning, Mathematical, Neuroscience, Nonlinear Waves and Coherent Structures
Brian Leroux
Professor, Department of Biostatistics
Research: Statistical methods for correlated data, with applications in dental research and other fields with Ph.D. in statistics
David Ribes
Associate Professor, Department of Human Centered Design and Engineering
Research: Intersection of sociology, philosophy, and history, how research infrastructures can support scientific investigations across changes in technology, policy, and social organization.
Thomas Richardson
Professor, Department of Statistics
Research: Graphical models, algorithmic model selection, Bayesian inference, causal models, applications in economics.
Eli Shilzerman
Assistant Professor, Department of Applied Mathematics
Research: Data Science, Dynamical Systems, Mathematical Biology, Mathematical Neuroscience, Scientific Computing
Dan Suciu
Professor, Paul G. Allen School of Computer Science and Engineering
Research: probabilistic databases and semistructured data, Data security and querying unreliable and inconsistent data sources
Jevin West
Assistant Professor, Information School
Research: Data Science, Network Science, Scholarly Communication, scholarly communication and intellectual property, building models, algorithms and interactive visualizations