About

I am a PhD student in the Machine Learning track of the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Institute of Technology, advised by Pascal Van Hentenryck.

My research focuses on machine learning for Diffussion large language models(DLLM), Agentic AI, numerical optimization(neural proxies solvers) and trustworthy AI(particularly conformal prediction). I am also interested in general LLM research.

Previously, I received my M.S. in Computational and Applied Mathematics from the University of Chicago and my B.S. in Mathematics (Probability & Statistics) from the University of California, San Diego. I have worked as a research intern at Argonne National Laboratory (secure federated learning and privacy attacks) and as a quantitative intern at Northeast Securities.