I'm a second year CS PhD student at University of Maryland, College Park. I'm advised by Professor Furong Huang.
I research large model safety, algorithmic fairness and mechanism design.
I studied math and computer science at Boston University, where I got to work with
Professor Bryan Plummer on misinformation detection
and Professor Indara Suarez on anomaly detection for the CMS detector at CERN.
I organized for Impact Labs, a nonprofit supporting students to have greater access to opportunities at the intersection of technology and social good.
Michael-Andrei Panaitescu-Liess, Zora Che, Bang An, Yuancheng Xu, Pankayaraj Pathmanathan, Souradip Chakraborty, Sicheng Zhu, Tom Goldstein, Furong Huang. "Can Watermarking Large Language Models Prevent Copyrighted Text Generation and Hide Training Data?" Workshop on the Next Generation of AI Safety at International Conference on Machine Learning (ICML), 2024.
Mucong Ding, Souradip Chakraborty, Vibhu Agrawal, Zora Che, Alec Koppel, Mengdi Wang, Amrit Bedi, Furong Huang. "SAIL: Self-improving Efficient Online Alignment of Large Language Models." Workshop on Theoretical Foundations of Foundation Models at International Conference on Machine Learning (ICML), 2024. [paper]
Bang An, Zora Che, Mucong Ding, Furong Huang. "Transferring Fairness under Distribution Shifts via Fair Consistency Regularization." Advances in Neural Information Processing Systems (NeurIPS), 2022. Previously in Socially Responsible Machine
Learning (SRML) at International Conference on Learning (ICLR), 2022. [paper]
Presentation
[1] "AutoDQM and RPC Monitoring" for the Development for Monitoring the Muon System and ML Applications Segment, CMS Week at CERN, 2020
Other
I am a multimedia artist. These days I've been interested in installations and collaborative pieces. [portfolio]
I'm grateful to have been supported by the Goldwater scholarship and the New York Times College Scholarship.
