He got his PhD from Carnegie Mellon University in 2006, and subsequently taught at the California Institute of Technology before moving to Hong Kong in 2008. His research is interdisciplinary in nature, and centers on methodological, epistemological, and logical issues in causal inference and statistical inference. His work has been published in some venues in machine learning and statistics as well as those in philosophy.