Resume
Academic Achievements
- “Proportionality from Low-Dimensional Approval Data” (In Submission, 2025); presented at EC Workshop: New Directions in Social Choice, 2025
- “Private Geometric Median in Nearly-Linear Time”, NeurIPS 2025; presented at TPDP workshop, 2025
- “Omnipredicting Single-Index Models with Multi-Index Models”, STOC 2025
- “Testing Calibration in Nearly-Linear Time”, NeurIPS 2024
- “Omnipredictors for Constrained Optimization”, ICML 2023
- “Active Learning Polynomial Threshold Functions”, NeurIPS 2022
- Amazon AI PhD Fellowship recipient