Danielle Braun is a senior research scientist in the Biostatistics Department at the Harvard T.H. Chan School of Public Health and at the Department of Data Science at Dana-Farber Cancer Institute. Her areas of research include risk prediction, genetic epidemiology, measurement error, survival analysis, frailty models, clinical tool development, causal inference, and comparative effectiveness research. As a senior research scientist Danielle co-leads the BayesMendel lab with Dr. Parmigiani and is Director of Data Science for Environmental and Climate Health working closely with Dr. Dominici.
Harvard University, Ph.D. Biostatistics, December 2013 (advisor: Dr. Parmigiani)
Harvard University, A.M., Biostatistics, 2010
MIT, B.S., Mathematics, Minor: Economics, 2007
BayesMendel R package: BayesMendel
PanelPRO R package: PanelPRO
ASK2ME Risk Prediction Tool: ASK2ME.org
CausalGPS R package: CausalGPS