Overview
I am a recognized expert in causal inference, with foundational contributions to its development and ongoing innovations in experimental design. My academic work includes pioneering the use of spectral analysis to evaluate complex designs, making randomized experimentation feasible under a much wider range of constraints. The unified framework I proposed has advanced the field by enabling the comparison and evaluation of novel designs and estimators, ensuring precision and efficiency in experimental analysis.
Selected Research Articles
- Exact Bias Correction for Linear Adjustment of Randomized Controlled Trials (2024, Econometrica)
- Optimized Variance Estimation under Interference and Complex Experimental Designs (2024, R&R, Journal of the American Statistical Association)
- Can Communities Take Charge? A Randomized Controlled Trial on Sustaining Schools in Afghanistan (2023, R&R, Journal of Politics)
- Are Ballot Initiatives Influenced by Campaigns? (2014, Political Behavior)