About me
I am a PhD candidate in Mathematics at the Georgia Institute of Technology, where I am fortunate to be co-advised by Cheng Mao and Debankur Mukherjee. I expect to complete my PhD in 2027 or 2028.
My research lies in applied probability, stochastic processes, optimization, and statistical learning, with a current focus on the long-run behavior of stochastic-gradient algorithms and the mean-field analysis of stochastic networks.
Before Georgia Tech, I completed a BSc and an MSc in Mathematics at the University of Melbourne, where I was fortunate to have Professor Konstantin Borovkov as my master's thesis advisor.
Contact me at jzhang3450@gatech.edu.
News
- A new preprint on scaling limits of constant-stepsize SGD at flat minima is available on arXiv.
- Received an Outstanding Student Poster Award at the Stochastic Networks Conference 2026.
- Awarded research funding through the ARC-ACO Student Fellowship.
Research interests
- Applied Probability
- Stochastic Processes
- Stochastic Optimization
- Statistical Learning
- Stochastic Networks