Ziping Xu

Department of Statistics, Harvard University.


zipingxu at fas dot harvard dot edu

I am a Postdoctoral Fellow in Statistics at Harvard University with Professor Susan Murphy.

I obtained my PhD degree in Statistics from University of Michigan advised by Professor Ambuj Tewari. Before joining University of Michigan, I obtained my B.S. degree in Data Science from Peking University in 2018, where I was advised by Professor Song Xi Chen.

Research Interests. My primary research interests lie in developing sequential decision-making approaches and theories for Digital and Mobile Health. My works include designing sample-efficient learning methods, inference methods for adaptively collected data, and transfer/multitask learning approaches to address the continual nature of health applications.


May 15, 2024 My paper with Kevin Tan “A Natural Extension To Online Algorithms For Hybrid RL With Limited Coverage” was accepted by the first Reinforcement Learning Conference 2024.
Mar 30, 2024 Our paper “Online learning in bandits with predicted context” was accepted by AISTATS 2024
Jan 16, 2024 Our paper “Sample Efficient Myopic Exploration Through Multitask Reinforcement Learning with Diverse Tasks” was accepted by ICLR 2024
Apr 26, 2023 Awarded Departmental Outstanding Dissertation Award.
Dec 01, 2022 One paper got accepted by NeurIPS 2022.