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.
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 (to appear)
Pat Bajari, Zhahao Cen, Victor Chernozhukov, Manoj Manukonda, S. V., Jin Wang | Journal of Econometrics (2025)
Abhineet Agarwal, Anish Agarwal, and S. V. | 37th Advances in Neural Information Processing Systems (NeurIPS 2023)
S. V. | 35th Advances in Neural Information Processing Systems (NeurIPS 2021)
Claire Lazar Reich and S. V. | Proceedings of the 2nd Symposium on the Foundations of Responsible Computing (FORC 2021)
S. V. | Working Paper.
Seth Shelley-Abrahamson and S. V. | Electronic Journal of Combinatorics (2016)
"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)
