Minghe Zhang

Machine Learning Engineer focusing on RSI & LLM Eval @ Google Ph.D. in Machine Learning (2019 - 2023) H. Milton Stewart School of Industrial and Systems Engineering Georgia Institute of Technology, Atlanta, GA Research Interest: Recursive Self-Improvement (RSI), LLM Evaluation, Statistical Machine Learning, Network Causal Analysis, Point Process Modeling, Meta-Learning

About Me

I am currently a Machine Learning Engineer at Google focusing on Recursive Self-Improvement (RSI) and LLM Evaluation. Prior to joining Google, I was a Research Scientist at Meta working on ads ranking algorithms.

In the past, I obtained my Ph.D. degree in Machine Learning at the H. Milton Stewart School of Industrial and Systems Engineering (ISyE) at Georgia Tech, where I was fortunate to be advised by Prof. Yao Xie. My doctoral research focused on Causal Inference for Dynamic Networks, Discrete Events Modeling using Point Processes, and Meta-Learning. I also received my M.S. degree in Electrical and Computer Engineering (ECE) from Georgia Tech, and my B.S. degree in Electronic Engineering from Tsinghua University, where I worked with Prof. Shouyi Yin exploring deep learning for image detection. During my undergraduate studies, I also worked with Prof. Peter Beerel on Resilient Circuit Network Optimization at the University of Southern California as a summer intern.

My CV can be found here.