- Mailman School of Public Health
- Assistant Professor of Biostatistics
Foundations of Data Science Affiliated Member
Health Analytics Affiliated Member
Computational Social Science Committee
I’m an Assistant Professor of Biostatistics in the Mailman School of Public Health at Columbia University. My research focuses mostly on causal inference: developing statistical methods and machine learning tools to support inference about treatment effects, interventions, and policies. I often take a perspective informed by graphical models (e.g., DAGs/Bayesian networks or related). Current research topics include structure learning (a.k.a. causal discovery), semiparametric inference, time series analysis, and missing data. I also work on algorithmic fairness: understanding and counteracting the biases introduced by data science tools deployed in socially-impactful settings. Finally, I have interests in the philosophy of science and the foundations of statistics.