Hello there!

I am a fourth-year Machine Learning Ph.D. student at Georgia Institute of Technology ISyE, where I am fortunate to be advised by Prof. Xiaoming Huo. I study the theoretical aspects of deep learning. Specifically, I study statistical learning theories for deep learning from generalization and approximation perspectives. I am also interested in the optimization theories of deep learning.

Previously, I earned my B.Sc. in Statistics with first-class honors at the University of Hong Kong. I was fortunate to work with Prof. Qiang Fu (at UBC) and Prof. Xin Guo (at the University of Queensland) on computational social science. I was an Overseas Research Fellow in 2019, working with Prof Ming Yuan at Columbia University, New York. I was also an exchange student at UCLA in 2019, studying math and statistics.

My email: tzhou306(at)gatech(dot)edu

Selected Awards

Part of my research has been kindly acknowledged by

  • The Margaret and Stephen Kendrick Research Excellence Award
    • Awarded annually to one Ph.D. student in ISyE for research in machine learning and analytics
  • ARC-ACO (Algorithms and Randomness Center) Fellowship
    • Institute-wide scholarship to support research in high-impact cross-disciplinary data science related areas