I am currently an Assistant Professor of Biostatistics at Brown University. I received my PhD in Biostatistics from the University of Pennsylvania. My research centers around developing Bayesian nonparametric methods for causal estimation, with a focus on estimating causal effects of sequential treatment decisions made with incomplete information. These methods blend principled causal reasoning, nonparametric Bayesian modeling, and efficient computation to build systems for data-driven decision making. Accordingly, I work in applied areas focusing on chronic diseases that require consistent management over time rather than "one-and-done" treatments. Examples range from cancer and HIV to osteoporosis and hypertension.
Some current work is partially funded by a PCORI contract and developing Bayesian methods for estimating (and optimizing) effects of sequential treatment strategies in acute myeloid leukemia. I am currently PI of another PCORI contract to develop Bayesian methods for causal estimation with incomplete covariate information.
If you are an ScM or PhD student at Brown University who is considering working with me, please see this page.
