The UW Master of Science in Data Science program is taught by an exceptional interdisciplinary faculty drawn from the departments of Applied Mathematics, Biostatistics, Human Centered Design & Engineering,  and Statistics and the Paul G. Allen School of Computer Science & Engineering and the Information School.

Many of the faculty are fellows and leaders of the eScience Institute, which has helped make UW a leader in data science research and education.

Cecilia Aragon

Cecilia Aragon is a professor in the Department of Human Centered Design and Engineering, director of the Human-Centered Data Science Lab and a senior data science fellow at the eScience Institute. Her research focuses on human-centered data science, computer-supported cooperative work, and the statistical and computational techniques of data science. In 2008, Aragon received the Presidential Early Career Award for Scientists and Engineers (PECASE). She has a Ph.D. in computer science from the University of California, Berkeley.

Profile | aragon@uw.edu

Brock Craft

Brock Craft is a senior lecturer in the Department of Human Centered Design & Engineering. His specialties are information visualization, human-computer interaction, physical computing and learning design. He was a co-founder of Tinker London, a design firm that focused on creating products that bridge the digital and physical worlds through interactive technology. Craft has a Ph.D. in information visualization design from the University College of London Interaction Centre.

Profile  | bcraft@uw.edu

Adrian Dobra

Adrian Dobra is an associate professor in the Departments of Statistics  and Biobehaviorial Nursing and Health Systems. He is also a core faculty member at UW’s 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. Dobra has a Ph.D. in statistics from Carnegie Mellon University. 


Zaid Harchaoui

Zaid Harchaoui is an assistant professor in the Department of Statistics. His research interests include machine learning, mathematical optimization, statistical hypothesis testing, computer vision and signal processing. He earned a Ph.D. in statistical machine learning from Telecom Paris Tech. 


Brian Leroux

Brian Leroux is a professor in the Departments of Biostatistics and Oral Health Sciences. He is also the director of the data coordinating center of Northwest PRECEDENT, a dental research network. LeRoux’s research focuses on statistical methods for correlated data, with applications in dental research and other fields. He has a Ph.D. in statistics from the University of British Columbia.

Profile | leroux@u.washington.edu

Dan Suciu

Dan Suciu is a professor in the Paul; G. Allen School of Computer Science & Engineering and an affiliate of UW’s eScience Institute. A researcher in data management, Suciu is known for his work on probabilistic databases and semistructured data. His more recent work focuses on data security and querying unreliable and inconsistent data sources. Suciu is a co-author of Data on the Web: from Relations to Semistructured Data and XML, and Probabilistic Databases. A fellow of the Association of Computing Machinery (ACM), Suciu earned a Ph.D. in computer science at the University of Pennsylvania.