
I am an econometrician in the OIT group at Stanford GSB. My current research focusses broadly on three related themes:
- High-dimensional and robust causal inference, including integrating machine learning into the econometric toolbox, causal inference with highly over-parametrized models, and robust estimation in panel data;
- Data-driven decision-making with conflicts of interest, including the design of pre-analysis plans and AI regulation;
- Human–AI interaction, including the fairness and optimal design of algorithmic recommendations.