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.

I am especially interested in studying how machine learning algorithms can be made more reliable and fair, and how to quantify their uncertainty, so they can help us answer questions in the sciences and help us make high-stakes decisions.

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 (2025, to appear)

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)

Working Papers

Uniform Inference for Kernel Instrumental Variable Regression

Marvin Lob, Rahul Singh and S. V. | Working Paper

Adventures in Demand Analysis using AI

Philipp Bach, Victor Chernozhukov, Sven Klaassen, Martin Spindler, Jan Teichert-Kluge, and S. V. | Revise and Resubmit at JASA: Applications and Case Studies

Kernel Ridge Regression Inference with Applications to Preference Data

Rahul Singh and S. V. | Submitted

Frank-Wolfe Meets Metric Entropy

S. V. | Working Paper

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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