Cambridge, MA / Miami, FL
I recently received my Ph.D. in Economics and Statistics from MIT, where I was fortunate to be advised by Victor Chernozhukov and Anna Mikusheva.
I am currently an Amazon Science Post-doc, where I work on experimental design under network interference with Guido Imbens and Thomas Richardson
In 2025, I will join the Department of Economics at U.C. San Diego as an Assistant Professor (tenure track).
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 | Submitted to Journal of the Royal Statistical Society: Series B
Pat Bajari, Zhahao Cen, Victor Chernozhukov, Manoj Manukonda, S. V., Jin Wang | Revise and Resubmit at Journal of Econometrics
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. | Technical Report (in progress).
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)
