About Me

I conduct research at Carnegie Mellon with Eric Xing. During my undergraduate, I interned at Mila Québec and Microsoft Asia.

My research interest lies broadly in Machine Learning, especially its algorithmic innovations motivated by statistical methodology and empirical problems arising from decision making and natural language processing. My pre-doctoral research probes trustworthy machine learning and reasoning aspects of large language models.


(* denotes equal contribution)


PC Member/Reviewer for: ICML (2021-23), NeurIPS (2021-22), ICLR (2022-23), AISTATS (2022-23), ARR (2022-23), ACL 2022, NAACL 2022, CVPR 2023