Co-authors
2
list available
Resume (English only)
Academic Achievements
- Published papers include 'Adapting to Misspecification' accepted by Econometrica and 'Using Multiple Outcomes to Improve the Synthetic Control Method' accepted by Review of Economics and Statistics. Working papers: 'Empirical Welfare Maximization with Constraints', 'Policy Learning with Confidence', and 'Estimating Treatment Effects under Bounded Heterogeneity'.
Research Experience
- Currently a Lecturer at the Department of Economics, University College London, and an Untenured Associate Professor (on leave) at CEMFI. Previously a Postdoctoral Research Fellow at UC Berkeley. Principal Investigator for an ESRC New Investigator grant (2025-2027), with additional funding from the Spanish Ministry of Science and Technology (2023-2026).
Education
- Received B.A. in Economics and Mathematics from Wellesley College in 2014; Ph.D. in Economics and Statistics from MIT in 2021.
Background
- An econometrician with research interests in causal inference and weak identification, primarily focusing on developing new methods for causal inference in a more realistic setting of treatment effects heterogeneity. Also contributed to research on weak identification with many instruments.
Miscellany
- More information available on Google Scholar. Participated in NBER Summer Institute Methods Lectures 2023 'Linear Panel Event Studies' (with Jesse M. Shapiro); notes and recordings available. Developed R library regulaTEr implementing Kwon and Sun (2025) methods to estimate treatment effects under bounds on their heterogeneity.