Harvard’s Sherri Rose is among 86 recipients nationwide honored by the National Institutes of Health High-Risk, High-Reward Research Program. An associate professor of health care policy, Rose received the New Innovator Award, which supports unusually innovative research from early career investigators. Rose’s methodological research uses nonparametric machine learning as a way to tease out cause-effect relationships and predict outcomes in health and biomedical data. Within the field of health policy, Rose works on risk adjustment, comparative effectiveness research, and health program impact evaluation. She also co-leads the Health Policy Data Science Lab and coauthored the first book on machine learning for causal inference.