Current Members
Yu-Xiang Wang
Director of S2ML lab. Associate Professor at UCSD (2024 - now). Previously associate professor at UCSB (2018-2023) and Amazon Web Services (2017-2018). Yu-Xiang received his PhD 2017 from the Machine Learning Department at Carnegie Mellon University (CMU). His research interests include on statistical theory and methodology, differential privacy, large-scale machine learning, reinforcement learning and deep learning.
Ruihan Wu
Postdoc(coadvised with Kamalika Chaudhuri). Ruihan works on privacy, online learning and large language models.
Dan Qiao
PhD Student. Dan's research focuses on reinforcement learning, differential privacy and deep learning optimization. He has done some work about low-adaptive (batched) RL and differentially private RL in both online and offline settings. Currently, Dan is developing a modern theory for deep learning.
Sunil Madhow
PhD student. Sunil is working on reinforcement learning, adaptive nonparametric regression and diffusion models.
Erchi Wang
PhD student. Erchi is working on differentially private tree-boosting with applications to healthcare. He is also interessted in theory of private learning.
Tongtong Liang
PhD Student (coadvised with Rahul Parhi and Alex Cloninger). Tongtong's research focuses on the mathematics of deep learning, in particular, generalization under the Edge-of-stability.
Pengrun Huang
PhD Student (coadvised with Kamalika Chaudhuri). Pengrun works on memorization and watermarking in LLMs.
