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Sherri Rose is a Professor of Health Policy at Stanford University and the Director of the Health Policy Data Science Lab. Her research focuses on developing and integrating innovative statistical and machine learning approaches to improve human health. In the realm of health policy, Dr. Rose specializes in algorithms for healthcare, risk adjustment, chronic kidney disease, and health program evaluation. She has contributed to a variety of interdisciplinary projects published in leading journals such as Biometrics, the Journal of the American Statistical Association, the Journal of Health Economics, Health Affairs, and the New England Journal of Medicine. Notably, in 2011, she co-authored a book on machine learning and causal inference, with a sequel text released in 2018. Dr. Rose has received numerous awards, including the NIH Director’s Pioneer Award and the Mortimer Spiegelman Award, which recognizes significant contributions to public health statistics by a statistician under 40. She has been actively involved in editorial roles, serving as Co-Editor-in-Chief of the journal Biostatistics from 2019 to 2023.
The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.