About Me

I am an incoming Ph.D. student at Princeton University. Before joining Princeton, I studied at Peking University (PKU) majoring in applied mathematics, while pursuing a double major in computer science. I was fortunate to be advised by Professor Liwei Wang on research about theory of machine learning. My research interests lie on the theories that can inspire us to make better algorithms. I spent a wonderful summer at MIT as a research intern supervised by Professor Sasha Rakhlin in 2019. I am also fortunate to work with Professor Jason D. Lee.


  • Two papers accepted by NeurIPS 2020!
  • Graduate from PKU.



  • Towards Understanding Optimization of Deep Learning at IJTCS [slides] [video]

  • A Gram-Gauss-Newton Method Learning Overparameterized Deep Neural Networks for Regression Problems at PKU machine learning workshop [slides]


  • Visiting Research Student at Simons Institute, UC Berkeley
    • Program: Foundations of Deep Learning
    • June, 2019 - July, 2019
  • Visiting Research Internship at MIT
    • Advisor: Professor Sasha Rakhlin
    • June, 2019 - Sept., 2019
  • Visiting Research Student at Princeton
    • Host: Professor Jason D. Lee
    • Sept., 2019 - Oct., 2019