Postdoctoral Fellow
Center for Research in Computation and Society
Harvard University
Office: MD 209

About Me

I am interested in developing new methods for machine learning and causal inference that improve the fairness, accountability, and interpretability of “human-facing” models such as medical diagnostics and credit scores.

My research aims to improve the adoption and social impact of machine learning and causal inference in domains such as medicine, finance, and criminal justice – specifically by designing methods to facilitate adoption and to protect against harm.