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
Danielle Braun Contact
Department of Biostatistics
Harvard T.H. School of Public Health
655 Huntington Avenue
Boston, MA 02115
dbraun@hsph.harvard.edu
Recent Publications
- Bayesian Meta-Analysis of Penetrance for Cancer Risk
- Long-Term Exposure to Low-Level PM 2.5 and Mortality: Investigation of Heterogeneity by Harmonizing Analyses in Large Cohort Studies in Canada, United States, and Europe
- Air Pollution and Mortality at the Intersection of Race and Social Class
- CausalGPS: An R Package for Causal Inference With Continuous Exposures
- Variant-specific Mendelian Risk Prediction Model
- Does choice of outdoor heat metric affect heat-related epidemiologic analyses in the US Medicare population?