Investigator, Instructor (M) Medicine, Mass General Research Institute

BA University of Chicago 2015

MS University of Chicago 2017

PhD University of Chicago 2022

bayesian inference; causal inference; clinical trials; meta-analysis; oncology; precision medicine; risk prediction Daniel E. Schwartz is an Instructor in Investigation at MGH Biostatistics. He develops methods to improve the efficiency and informativeness of clinical trials, with a focus on the use of external (non-randomized) data, subgroup analysis, and Bayesian trial design and analysis. These methods often involve novel statistical work on evidence synthesis, hierarchical models, causal inference, the interface between Bayesian and Frequentist methods, and computation.

He also engages in collaborative and methods work on the early detection of cancer. This work is focused on the development and validation of longitudinal biomarkers for risk prediction and clinical decision-making, primarily in blood and women's cancers.

Dr. Schwartz completed his education at The University of Chicago, including a PhD in Biostatistics, MS in Statistics, and BA in Tutorial Studies. He previously was a postdoctoral fellow in biostatistics at Harvard T.H. Chan School of Public Health and Dana-Farber Cancer Institute.

For more information, visit https://deschwartz.github.io.