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
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
- Prediction of hereditary cancers using neural networks
- Evaluation of Model-Based PM2.5 Estimates for Exposure Assessment During Wildfire Smoke Episodes in the Western US
- Package ‘CausalGPS’
- Familial pancreatic cancer: who should be considered for genetic testing?
- A validation of models for prediction of pathogenic variants in mismatch repair genes
- Estimating a Causal Exposure Response Function with a Continuous Error-Prone Exposure: A Study of Fine Particulate Matter and All-Cause Mortality