Published multiple papers in top conferences like AAAI, NeurIPS, and won both Regular & Extended Track in VNN-COMP 2025 and 2024, among other honors.
Research Experience
Research spans distribution shift, adversarial robustness, neural network verification, reinforcement learning, online learning, game-theoretic methods, and optimal control. Involved in projects such as DR-SAC, ShortageSim, and distributionally robust path-integral control.
Education
Student of Computer Science at the University of Illinois Urbana-Champaign (UIUC)
Background
A student of computer science with research interests in AI Safety, focusing on trustworthy machine learning, decision making under uncertainty, and optimization & learning theory foundations.