Welcome to Zheng's homepage!

Zheng Dong (董铮)

I am an Applied Scientist at Amazon, where I develop agentic large language models (LLMs) for modeling customer event sequences to enable scalable customer risk detection and prevention.

I obtained my Ph.D. degree in Machine Learning from H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology in December 2024, under the supervision of Dr. Yao Xie. My Ph.D. research lies in the broad areas of machine learning and statistics, with specialized interests in spatio-temporal event modeling and point processes. I am especially interested in developing principled methodologies that extract scientific insight from complex real-world data and support high-impact decision-making systems.

Prior to Georgia Tech, I earned my B.S. in Statistics from the University of Science and Technology of China (USTC) in 2020.

I was born in Hangzhou, a historic city in southeastern China known for its cultural heritage and West Lake. Outside of work, I enjoy sports (especially basketball), photography, and traveling.