Ziping Xu
![Headshot.jpg](/assets/img/Headshot.jpg?d0168d33d2e31823a54bdd08fadef359)
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.
news
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. |
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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. |