Biosketch

Danielle Braun is a principal 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 principal 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

Biography

Harvard University, Ph.D. Biostatistics, December 2013 (advisor: Dr. Parmigiani)

Harvard University, A.M., Biostatistics, 2010

MIT, B.S., Mathematics, Minor: Economics, 2007

Software

BayesMendel R package: BayesMendel

PanelPRO R package: PanelPRO

ASK2ME Risk Prediction Tool: ASK2ME.org

MyLynch: MyLynch.org

CausalGPS R package: CausalGPS