I am a Ph.D. student in Industrial & Systems Engineering at the University of Southern California, advised by Prof. Meisam Razaviyayn. I received my B.S. in Operations Research & Information Engineering and Computer Science from Cornell University, where I worked on projects in integer programming, vision–language modeling, and machine learning for graphics and geometry.

My research interests lie broadly in optimization and machine learning, with a particular emphasis on large-scale constrained optimization, first-order methods, and algorithmic design for modern learning systems. I am interested in developing optimization algorithms that are both theoretically grounded and practically scalable.

Broadly, my research aims to bridge theory, algorithms, and implementation in optimization and learning.