Rahul Singh

Rahul Singh is an Assistant Professor of Economics at Harvard University's Department of Economics. His research interests include econometrics, causal inference, and machine learning. He is affiliated with the Littauer Center and can be contacted via email at rahul_singh@fas.harvard.edu. His personal website provides additional information about his work.

Rahul Singh is an econometrician at Harvard University with a focus on causal inference and machine learning. His research explores the integration of machine learning techniques with econometric methods to estimate causal effects in complex settings. Singh's work includes developing debiased machine learning algorithms for causal and structural effects, as well as kernel methods for causal functions and unobserved confounding. He also investigates causal inference with corrupted data and applies these methods to program evaluation and satellite imagery analysis. His contributions emphasize robustness, generalization, and finite-sample guarantees in causal estimation.