I am a third-year PhD student in Statistics and Machine Learning at Cornell University, advised by Martin Wells and Yuchen Wu.
I am interested in statistical machine learning and establishing rigorous foundations for statistical and machine learning methods, while also developing new algorithms guided by theoretical insights. I am fortunate to have been supported by a Cornell University Fellowship.
Before Cornell, I was an undergraduate at UC Berkeley studying Computer Science, where I was advised by Iain Carmichael and Ryan Tibshirani.
If you're an undergrad or Master's student at Cornell and are interested in collaborating, please reach out!
Selected recent work across optimization, LLM post-training, and diffusion model theory.