About me

I am a PhD candidate in the Math and Data group at the Center for Data Science, New York University, under the supervision of Prof. Julia Kempe. Alongside Prof. Kempe, I am fortunate to have the support of my committee advisors, Prof. Qi Lei and Prof. Andrew Gordon Wilson. I have been fortunate to work with Dr. Yann Ollivier(Meta) during my internship at FAIR, Meta.

My current research interests focus on several key areas: 1) improved methods for scientific reasoning, 2) reinforcement learning and test-time optimization, 3) the impact of AI-synthesized data on contemporary learning paradigms. By drawing upon my theoretical knowledge and practical experience, I aim to contribute insightful understandings and develop robust methodologies in these areas.

I did my undergraduate in Applied Mathematics (Honor Track) at the School of Mathematical Sciences, Peking University. Back then, I was advised by Prof. Bin Dong on adversarial robustness. In Summer 2020, I worked virtually with Prof. Yue M. Lu at Harvard on high dimensional statistics and machine learning. I also worked closely with Dr. Di He from Microsoft Research Asia on representation. In 2022 Summer, I interned at Uber as an Applied Scientist Intern on causal machine learning.

Check out more information from my CV.

More about myself: I am an outdoor lover. I climbed the Luodui Mount (6010m Snowberg) at Tibet, China in August, 2021. I have also served as the teaching assistant of Outdoor Exploration at Peking University. Outdoor experiences really help shape my personality and life methodology.