I received my Ph.D. from Computer Science Department in Princeton University where I’m fortunate to be advised by Prof. Sanjeev Arora. Before that, I was an undergrad at Institute for Interdisciplinary Information Sciences in Tsinghua University, a.k.a. Andrew Yao’s CS pilot class.
I am broadly interested by algorithm design and reinforcement learning, especially deep (model-based) reinforcement learning.
- Intern @ Facebook AI Research
2018 May — 2018 Sep
- Intern @ OpenAI
2017 Jul — 2017 Sep
- Intern @ Google Brain
2015 Jul — 2015 Dec
Reviewing: ICLR 2022/2021/2020/2019, NeurIPS 2021/2020, ICML 2022/2021/2020, ISAAC 2015.
- Theoretical Foundations of Deep Learning (COS 597G, 2018);
- Theory of Algorithms (COS 423, 2019);
- Mathematical Understanding of Deep Learning (COS 598B, 2022).