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.
Xuandong Zhao
PhD Student. Xuandong is working on responsible use of generative AI, e.g., watermarking, copyright, security, and privacy. He earned his B.S. in Computer Science from Zhejiang University in 2019. Xuandong is a recipient of the Chancellor's Fellowship from UC Santa Barbara.
Jianyu Xu
PhD Student. A fifth-year PhD student studying on-line learning and bandits, with specialization in dynamic pricing.
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.
Esha Singh
PhD Student. Esha is interested in the mathematical foundations of machine learning and building efficient machine-learning solutions. Recently, she has been focusing on understanding the optimization and generalization of neural networks.
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.
Momin Haider
MS student. Momin worked on online and offline reinforcement learning with applications to computer networking. Momin is joining University of Virginia (UVA) as a PhD student.
Sunil Madhow
BS/MS Student. Sunil worked on offline reinforcement learning with adaptively collected data and is currently designing new adaptive nonparametric regression methods. Sunil is joining UC San Diego as a PhD Student.
