Short Bio

I am an Applied Scientist at Amazon, where I focus on agentic AI and time series foundation models.

I received my Ph.D. in Operations Research from Columbia University, where I was fortunate to be advised by Prof. Henry Lam and Prof. Wenpin Tang. Prior to that, I completed a B.S. in Applied Mathematics from UCLA.

My research interests center on generative modeling (LLMs and diffusion models) with a focus on RLHF and alignment, as well as efficient uncertainty quantification. I am particularly motivated by designing algorithms that combine efficiency with rigorous theoretical guarantees. Previously, I collaborated with Prof. Krzysztof Choromanski on efficient Transformers and random features.

News

Selected Publications [ Google Scholar ]