Finalist in the 2023 INFORMS Applied Probability Society Best Student Paper Competition; received the University of Illinois Urbana-Champaign Lieutenant General Thomas M. Rienzi Award in 2022 and 2020; received the University of Illinois Urbana-Champaign Grainger Power Engineering Award in 2020.
Research Experience
Works to understand the theoretical limitations of empirically successful reinforcement learning techniques and applies these techniques towards algorithms in related domains, providing efficient and convergent algorithms. Collaborating with Prof. Shie Mannor and his team at NVIDIA Research to implement work in their applications.
Education
Graduated from California Institute of Technology (Caltech) with a B.S. in Electrical Engineering in 2018; currently pursuing a Ph.D. at the University of Illinois Urbana-Champaign (UIUC), advised by Prof. R. Srikant.
Background
Ph.D. student at UIUC in Electrical and Computer Engineering, advised by Prof. R. Srikant. Research focus is on reinforcement learning theory. Has also worked on electricity markets.