Adrian Dobra is the Program Chair for the Master of Science in Data Science program. He is a 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.
Bob Boiko
Principal Lecturer, Information School
Research: Social networking technologies, information architecture, system design, and content management.
Lurdes Inoue
Professor and Chair, Department of Biostatistic
Research: Bayesian inference, statistical modeling of disease progression, with applications in cancer research.
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.
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
Nicholas Weber
Assistant Professor, Information School
Research: Data and Software Curation, Civic Technology, Science and Technology Studies