Involved in multiple research projects, including papers presented at the NeurIPS 2025 FoRLM workshop and COLT 2025.
Education
Ph.D. Student at Toyota Technological Institute at Chicago, advised by Nathan Srebro
Background
Research interests lie at the interface of artificial intelligence, theoretical computer science, and information theory. Seeks conceptual insights into how contemporary AI systems learn through the lens of computational learning theory.