Suhas Vijaykumar

San Diego, CA

I am currently an Assistant Professor in the Department of Economics at U.C. San Diego (since July, 2025).

I received my Ph.D. in Economics and Statistics from MIT, where I was fortunate to be advised by Victor Chernozhukov and Anna Mikusheva.

Subsequently, I was an Amazon Science Post-doc, where I worked on experimental design under network interference with Guido Imbens and Thomas Richardson.

My research interests range from econometrics and policy analysis to high-dimensional statistics and machine learning theory.

Outside of work, I love to play the guitar and I am passionate about rock climbing.

Publications

Multiple Randomization Designs: Estimation and Inference with Interference

Lorenzo Masoero, S. V., Thomas Richardson, James McQueen, Ido Rosen, Brian Burdick, Pat Bajari, and Guido Imbens | Journal of the Royal Statistical Society: Series B (2026)

Hedonic Prices and Quality Adjusted Price Indices Powered by AI

Pat Bajari, Zhahao Cen, Victor Chernozhukov, Manoj Manukonda, S. V., Jin Wang | Journal of Econometrics (2025)

Synthetic Combinations: A Causal Inference Framework for Combinatorial Interventions

Abhineet Agarwal, Anish Agarwal, and S. V. | 37th Advances in Neural Information Processing Systems (NeurIPS 2023)

Localization, Convexity and Star Aggregation

S. V. | 35th Advances in Neural Information Processing Systems (NeurIPS 2021)

Can Calibration and Equal Error Rates Be Reconciled?

Claire Lazar Reich and S. V. | Proceedings of the 2nd Symposium on the Foundations of Responsible Computing (FORC 2021)

Higher Bruhat Orders in Type B

Seth Shelley-Abrahamson and S. V. | Electronic Journal of Combinatorics (2016)

Work in progress

A Scale-Free Density Bound for Gaussian Maxima
S. V. | Working Paper

Regression Adjustments for Double Randomization in Two-Sided Marketplaces
Timothy Sudijono, Lihua Lei, Lorenzo Masoero, S. V., Guido Imbens, and James McQueen | Under Review

Demonstration Experiments
Guido Imbens, Lorenzo Masoero, Alexander Rakhlin, Thomas S. Richardson, and S. V. | Under Review

Uniform Inference for Kernel Instrumental Variable Regression
Marvin Lob, Rahul Singh and S. V. | Working Paper, extended abstract to appear at EC '26

Adventures in Demand Analysis using AI
Philipp Bach, Victor Chernozhukov, Sven Klaassen, Martin Spindler, Jan Teichert-Kluge, and S. V. | In Revision

Kernel Ridge Regression Inference with Applications to Preference Data
Rahul Singh and S. V. | In Revision

Frank-Wolfe Meets Metric Entropy
S. V. | In Revision

Theses and Tutorials

Here are some projects I completed while a student (at various stages).

"Distributional Effects of Charter School Attendence on Test Scores under Denver's SchoolChoice" | Second-Year Paper (MIT Economics)

"Symmetric Functions and Schur-Weyl Duality" | Masters Thesis (U. of Cambridge)

"Survey of Umabiguous Computation" | Final Project, Advanced Complexity Theory (MIT)

If you want to get in touch, reach me at svijaykumar@ucsd.edu

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