I am currently an Assistant Professor of Biostatistics at Brown University’s Department of Biostatistics. My methodological research centers around developing Bayesian methods for flexible causal effect estimation with observational data. These methods blend principled causal reasoning, nonparametric Bayesian modeling, and efficient computation to build tools for data-driven decision making.
Many of my motivating applications are in oncology - e.g. Bayesian nonparametric cost and cost-efficacy estimation for endometrial cancer treatments; Developing a Bayesian bootstrap procedure for assessing treatment effect heterogeneity of photon radiation therapy. My current research is partially funded by a PCORI grant and focuses on developing Bayesian semiparametric methods for estimating and optimizing effects of sequential treatment strategies with applications in leukemia.
I received my PhD in Biostatistics from the University of Pennsylvania under the supervision of Jason Roy and Nandita Mitra. More information about Arman's research program can be found on his research website.
