The UW MSDS interdisciplinary faculty come from six top-ranked departments and schools across the University of Washington, as well as thought leaders in local industry.
Adrian Dobra
Professor, Statistics department
Areas of focus: Development of high-dimensional multivariate spatiotemporal models and graphical models.
MSDS classes 2021-22: DATA 556 (AU21)
Zaid Harchaoui
Associate Professor, Department of Statistics
Areas of focus: Machine learning, statistical inference, numerical optimization.
MSDS classes 2021-22: DATA 598 (WI22), DATA 558 (SP22)
Megan Hazen
MSDS Capstone Director
Areas of focus: Neural networks, intelligent control systems, applied solutions.
MSDS classes 2021-22: DATA 598 (AU21), DATA 590 (WI22), DATA 591 (SP22)
Bernease Herman
Data Science Fellow, Research Staff, UW eScience Institute
Areas of focus: Interpretable Machine Learning, algorithmic generation of human-understandable explanations of black box models.
MSDS classes 2021-22: DATA 515 (WI22)
Brian Leroux
Professor, Department of Biostatistics
Areas of focus: Statistical methods for correlated data, with applications in dental research and other fields.
MSDS classes 2021-22: DATA 557 (WI22)
Nathan Mannheimer
Director, Data Science and ML Products, Tableau
Professional focus: information visualization and communication in data science, interpretable and trusted machine learning, ML model training and deployment workflows
MSDS classes 2021-22: DATA 511 (AU21, SU22)
David W. McDonald
Professor, Human Centered Design & Engineering
Areas of focus: Computer-supported cooperative work (CSCW), human-computer interaction (HCI), social computing, collaboration in Wikipedia.
MSDS classes 2021-22: DATA 512 (AU21)
Dan Suciu
Microsoft Endowed Professor, Paul G. Allen School of Computer Science and Engineering
Areas of focus: Probabilistic databases and semistructured data, data security and querying unreliable and inconsistent data sources.
MSDS classes 2021-22: DATA 516 (AU21), DATA 514 (SP22)