About Me

I'm a master's student at Carnegie Mellon, working with Eric Xing. I'm a visiting student researcher at Stanford with Tatsu Hashimoto in 22 summer. During my undergraduate, I interned at Mila Québec and Microsoft Asia.

My current 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 ML: I develop ML methods for robust algorithmic decision making in social and economic dynamics.
Reasoning: I study how to adapt large language models to robustly and interpretably reason over logical propositions.

Papers

(* denotes equal contribution)

Service

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