In the fall of 2023, I will be joining Harvard ML Foundations Group as a PhD student in Computer Science. I am interested in studying the foundations and social implications of machine learning. My pre-doctoral research probes trustworthy machine learning and reasoning aspects of large language models.
I received my master's degree from the Machine Learning Department of Carnegie Mellon University, advised by Eric Xing. I have also spent time as a research intern at Stanford, Mila Québec and Microsoft Asia.
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