Ph.D. Student, Machine Learning
School of Electrical and Computer Engineering
Georgia Institute of Technology
Email: xchen920@gatech.edu
About
I’m Xuanzhou Chen, a second-year machine learning Ph.D. student advised by Prof. Ashwin Pananjady at Georgia Tech. My research sits at the intersection of machine learning theory, causal inference, and generative models. I study how to recover latent structure from high‑dimensional data and design algorithms with provable guarantees.
Education
- Ph.D. in Machine Learning, Georgia Institute of Technology, 2023 – present
Advisor: Prof. Ashwin Pananjady; Research areas: High‑dimensional statistics, generative models. - M.S. in Computer Engineering, New York University, 2021 – 2023
- B.S. in Mathematics and Computer Science, University of Wisconsin-Madison, 2016 – 2020
Talks
- [2024/10/25 · Georgia Statistics Day] “Statistical modeling and estimation for personalized color perception” [poster]
- [2024/09/27 · 60th Allerton Conference on Communication, Control, and Computing] “Statistical modeling and estimation for personalized color perception” [slides]
- [2024/07/27 · ICML Workshop: Humans, Algorithmic Decision-Making and Society] “Statistical modeling and estimation for personalized color perception” [poster]