Welcome to my homepage
I’m a Software engineer in AI/ML at Google Cloud Sunnyvale.
I completed a PhD in Machine Learning at Georgia Institute of Technology in July 2026. My research interests were in statistics, machine learning theory and mathematics of data science. I am grateful for the privilege to work with my advisor during my PhD, Professor Cheng Mao.
Contact
Work Experience
- Software Engineer III, AI/ML, Google, Aug 2026-now
- Applied Scientist Intern, Amazon, May 2025-Aug 2025
- Teaching Assistant, Georgia Institute of Technology, Aug 2021-Aug 2026
- Research Assistant, Georgia Institute of Technology, Aug 2021-Aug 2026
Education
- Ph.D student in Machine Learning, Georgia Institute of Technology, 2021-now.
- Master in Mathematics along the way, Georgia Institute of Technology. 2021-2024
- B.S. in Statistics, Xi’an Jiaotong University, 2017-2021.
Publication
- Detection-Recovery Gap for Planted Dense Cycles; Cheng Mao, Alexander S. Wein, Shenduo Zhang; COLT 2023.
- Information-Theoretic Thresholds for Planted Dense Cycles; Cheng Mao, Alexander S. Wein, Shenduo Zhang; IEEE Trans on Information Theory.
- Impossibility of latent inner product recovery via rate distortion; Cheng Mao, Shenduo Zhang; Allerton 2024.
Disclaimer
THIS PAGE IS NOT A PUBLICATION OF THE GEORGIA INSTITUTE OF TECHNOLOGY AND THE GEORGIA INSTITUTE OF TECHNOLOGY HAS NOT EDITED OR EXAMINED THE CONTENT. THE AUTHOR(S) OF THE PAGE ARE SOLELY RESPONSIBLE FOR THE CONTENT. Last update: Jan 18th, 2026.