PhD students (alphabetical order)
Shenyang Deng (Fall 2024-, B.S. @South China University of Technology) Research topic: Learning theory
Lei Hsiung (Fall 2023-, M.S. @National Tsing Hua University) Research topic: Safety alignment
Xiaotian Liu (Fall 2023-, M.S. @Wake Forest University) Research topic: Optimization & ensemble learning
Tianyu Pang (Fall 2025-, M.S. @Nanjing University) Research topic: Model diagnostics
Current research interns (alphabetical order)
Lea T. Chen (B.S. @ Dartmouth College & Karlsruhe Institute of Technology) Research: Graph neural networksÂ
Kinshuk Goel (B.S. @SRM Institute of Science and Technology) Research: FARMS (ICML 2025)
Yuanzhe Hu (M.S. @UC San Diego) Research: Layer balancing & SciML (EMNLP 2024 main oral) FARMS (ICML 2025)
Vlad Killiakov (M.S. @UC Berkeley) Research: FARMS (ICML 2025)
Vignesh Kothapalli (Researcher @LinkedIn Inc) Research: Heavy-tail theory and feature learning
Zihang Liu (M.S. @UC Berkeley) Research: Layer balancing in LLM fine-tuning (EMNLP 2024 main oral) LIFT (ICML 2025)
Haiquan Lu (B.S. @Nankai University) Research: SharpBalance (NeurIPS 2024) AlphaPruning (NeurIPS 2024)
Hanyang Wang (M.S. @U Chicago) Research: Phase transition of operator learning
Alumni (alphabetical order)
Dominic Carrano (M.S. @UC Berkeley; now @Apple) Research: Coded serverless computing (ICDCS 2020); boundary thickness
Eunice Chan (B.S. @UC Berkeley; now PhD @UIUC) Research: Subpopulation shift (NeurIPS 2021 workshop)
Jianlong Chen (B.S. @Zhejiang University; now PhD @CUHK) Research: MD-tree (ICML 2024); loss landscape metrics (ICML 2023 workshop)
Andrew Koulogeorge (B.S. @Dartmouth College; now M.S. @Carnegie Mellon University ) Research: LLMs
Qunli Li (M.S. @UC San Diego) Research: SharpBalance (NeurIPS 2024)
Alan Pham (B.S. @UC Berkeley) Research: Subpopulation shift (NeurIPS 2021 workshop)
Linyue (Oliver) Song (B.S. @UC Berkeley) Research: Backdoors in federated learning (ICML 2022)
Vikranth Srivatsa (B.S. @UC Berkeley; now PhD @UC San Diego) Research: Subpopulation shift (NeurIPS 2021 workshop)
Elicia Ye (M.S. @UC Berkeley) Research: ME-Prune
Zhehao Zhang (M.S. @Dartmouth College) Research: Learning Numerical Linear Algebra Algorithms
Alex Zhao (B.S. @UC Berkeley) Research: ME-Prune
Yefan Zhou (M.S. @UC Berkeley) Research: Model diagnostics
Haomin Zhuang (B.S. @SCUT; now PhD @University of Notre Dame) Research: Backdoor attacks
Joe Zou (B.S. @UC Berkeley; now @Google) Research: Taxonomizing loss landscapes (NeurIPS 2021)