Data Science Masters

Photograph of Adrian Dobra

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.

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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.

Luis Ceze
Professor, Paul G. Allen School of Computer Science & Engineering
Areas of interest: computer architecture, machine learning systems, programming languages, energy-efficient computing, molecular storage and computing.
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Bamdad Hosseini
Assistant Professor, Applied Mathematics
Areas of interest: probability, statistics and applied mathematics with a particular focus on data science and uncertainty quantification.
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Brian Leroux
Professor, Department of Biostatistics
Areas of interest: statistical methods for correlated data, with applications in dental research and other fields.
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David W. McDonald
Professor, Human Centered Design & Engineering
Areas of interest: Computer-supported cooperative work (CSCW), human-computer interaction (HCI), social computing, collaboration in Wikipedia.
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Anup Rao
Associate Professor, Paul G. Allen School of Computer Science & Engineering
Areas of interest: theoretical computer science.
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David Ribes
Associate Professor, Human Centered Design & Engineering
Areas of interest: science and technology studies (STS), information studies, cyberinfrastructures (CI).
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Abel Rodriguez
Professor and Chair, Statistics
Areas of interest: theory and application of Bayesian statistical methods, specially in the social and biological sciences.
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Eli Shilzerman
Associate Professor, Department of Applied Mathematics
Areas of Interest: data science, dynamical systems, mathematical biology, mathematical neuroscience, scientific computing.
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Ali Shojaie
Professor, Biostatistics
Areas of interest: developing statistical methods for analysis of large, complex systems, particularly biological and social systems.
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Ott Toomet
Assistant Teaching Professor, Information School
Areas of interest: econometrics, labor economics, socialization, interethnic contacts, data science.
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Jevin West
Associate Professor, Information School
Director, Center for an Informed Public
Areas of interest: the Science of Science, the spread of misinformation, knowledge discovery tools to both study and facilitate science, the origin of scholarly disciplines, the evolution of science.
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