Chih-Yu Chang
I am a PhD student in Mathematics at Imperial College London, supervised by Prof. Kelly Zhang and co-supervised by Prof. Andrew Duncan. My research lies at the intersection of statistics and machine learning, with interests in sequential decision making, Bayesian optimization, and statistical learning.
Before joining Imperial, I earned an MSc in Applied Statistics from the University of Michigan, Ann Arbor and a BSc in Mathematics from National Tsing Hua University. I have also worked with Dr. Ming-Chung Chang at the Institute of Statistical Science, Academia Sinica.
Research
My current and recent work focuses on methods for learning and decision making from limited or distributed data, including:
- reinforcement learning;
- Bayesian optimization and bandit algorithms;
- collaborative learning;
- applied experimental design.
News
- 06/2026: I will present a poster at the Advances in Adaptive Experimentation Workshop at UCL.
- 05/2026: The paper Bootstrap Aggregation for Regression Problems via Generalized Least Squares is accepted by Statistics and Computing.
- 09/2025: Joined the Department of Mathematics at Imperial College London as a PhD student.
- 12/2024: Graduated from the University of Michigan with an MSc in Applied Statistics.
Contact
Email: c.chang25@imperial.ac.uk
Last updated: May 2026.