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 works 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
- SNIP: An Adaptation of Sorted Neighborhood Methods for Deduplicating Pedigree Data
- Disease spectrum of breast cancer susceptibility genes
- 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