Biosketch
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.
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
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 Modeling for Exposure Response Curve via Gaussian Processes: Causal Effects of Exposure to Air Pollution on Health Outcomes
- Extending Models Via Gradient Boosting: An Application to Mendelian Models
- Disease spectrum of breast cancer susceptibility genes
- SNIP: An Adaptation of Sorted Neighborhood Methods for Deduplicating Pedigree Data
- Multi-syndrome, multi-gene risk modeling for individuals with a family history of cancer with the novel R package PanelPRO
- Search Behavior Regarding Cancer Susceptibility Genes Using a Clinical Decision Support Tool for Gene-Specific Penetrance: Content Analysis