I obtained my PhD from the Computer Science Department at UCLA, advised by Judea Pearl. My research focuses on causal inference and its applications to bioinformatics, economics, medicine, and public health. Specifically, my research work develops formal methods for solving the problem of generalizing causal and statistical knowledge from heterogeneous datasets. Many applications of this problem appear in the empirical sciences under the rubrics of external validity, meta-analysis, and selection bias. I am broadly interested in Artificial Intelligence, Machine Learning, Statistics, Cognitive Science, and Philosophy of Science.