I received my Ph.D. from Computer Science Department, Princeton University. I’m fortunate to be advised by Professor Sanjeev Arora. Before that, I studied at Institute for Interdisciplinary Information Sciences, Tsinghua University, a.k.a. Andrew Yao’s CS pilot class, as an undergraduate.

I am broadly interested by algorithm design and reinforcement learning, especially deep (model-based) reinforcement learning.

Work Experience

• Intern @ Facebook AI Research
  2018 May — 2018 Sep
• Intern @ OpenAI
  2017 Jul — 2017 Sep
• Intern @ Google Brain
  2015 Jul — 2015 Dec

Service

Reviewing: ICLR 2022/2021/2020/2019, NeurIPS 2021/2020, ICML 2022/2021/2020, ISAAC 2015.

Teaching:

• Theoretical Foundations of Deep Learning (COS 597G, 2018);
• Theory of Algorithms (COS 423, 2019);
• Mathematical Understanding of Deep Learning (COS 598B, 2022).