Biosketch
Danielle Braun is a research scientist in the Biostatistics Department at the Harvard T.H. Chan School of Public Health and at the Department of Biostatistics and Computational Biology 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 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
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
- Penetrance of Breast and Ovarian Cancer in Women Who Carry a BRCA1/2 Mutation and Do not Use Risk-Reducing Salpingo-Oophorectomy: An Updated Meta-analysis
- Exposure to air pollution and COVID-19 mortality in the United States
- A pedigree-based prediction model identifies carriers of deleterious de novo mutations in families with Li-Fraumeni syndrome
- Legacy Genetic Testing Results for Cancer Susceptibility: How Common are Conflicting Classifications in a Large Variant Dataset from Multiple Practices?
- Penetrance of Colorectal Cancer Among Mismatch Repair Gene Mutation Carriers: A Meta-Analysis
- Ask2Me VarHarmonizer: A Python-Based Tool to Harmonize Variants from Cancer Genetic Testing Reports and Map them to the ClinVar Database