Research

I am a PhD student in the Department of Statistics and the Machine Learning Department at Carnegie Mellon University, where I am advised by Louis-Philippe Morency and Edward Kennedy. My research centers on developing causal inference methods to enable principled, transparent machine learning in modern data settings. I am also interested in leveraging machine learning methods to better facilitate estimation of complex causal effects and counterfactuals. Prior to joining CMU, I received my AB in Statistics and Molecular & Cellular Biology from Harvard University.