My research interests lie in general area of machine learning, particularly in large language model, multi-modal foundation models, learning with imperfect datasets (corrupted data, limited supervision, small data, etc.) as well as their applications in medicine and biology. When I was at NYU, I was a member of the Math and Data (MAD) group where I worked on inverse problems and optimization. I love playing tennis, scuba diving, surfing and any water sports.
I defended my PhD and graduated from NYU this summer!
- Conference Reviewer: NeurIPS 2020-2023, ICLR 2021-2023 ICML 2021-2023.
- Journal Reviewer: Journal of Machine Learning Research (JMLR), Transactions of Machine Learning Research (TMLR), Transactions on Pattern Analysis and Machine Intelligence (TPAMI).