Recipient of the Dean’s Award for Excellence in Research Collaboration (2025).
Appointed Thomas J. & Alice M. Tisch Named Professor effective July 2025.
Published in top journals including Biometrics, Biostatistics, Epidemiology, Observational Studies, and JAMA Open Network.
Developed the causalBETA R package for Bayesian semiparametric causal inference with survival/event-time outcomes.
Developed the ChiRP R package for Dirichlet process mixtures of zero-inflated, logistic, and linear regressions.
Background
Thomas J. & Alice M. Tisch Assistant Professor of Biostatistics at Brown University.
Methodological research focuses on developing Bayesian nonparametric methods for causal estimation, particularly for sequential treatments with incomplete information.
Integrates principled causal reasoning, nonparametric Bayesian modeling, and efficient computation to build data-driven decision-making systems.
Motivating applications primarily in chronic diseases such as oncology and rheumatology.
Current work partially funded by PCORI contracts, including projects on optimizing sequential treatment strategies in acute myeloid leukemia and causal inference with incomplete covariate information.