Hello there!

I am a postdoctoral research scientist at Columbia University’s Data Science Institute, working with Samory Kpotufe (Department of Statistics) and Qiang Du (Department of Applied Physics and Applied Mathematics). My research focuses on the theoretical foundations of deep learning. I study the statistical and computational principles that drive the success of deep learning, with the goal of enhancing the performance of systems that leverage these technologies. Recently, I have been interested in the theory and practice of network intrusion detection in cybersecurity.

I received my Ph.D. in Machine Learning from Georgia Institute of Technology ISyE, where I was fortunate to be advised by Xiaoming Huo. Born and raised in Hong Kong, I completed my B.Sc. in Statistics with first-class honors at the University of Hong Kong in 2020. During my undergraduate studies, I had the opportunity to study mathematics and statistics as an exchange student at UCLA in 2019.

You can find my CV here.

My email: tz2699(at)columbia.edu