Biography

I am a first-year PhD student in Mathematics at Imperial College London, supervised by Professor Kelly Zhang. Before joining Imperial, I earned an MSc in Applied Statistics from the University of Michigan, Ann Arbor in 2024 and a BSc in Mathematics from National Tsing Hua University in 2023.

I was fortunate to serve as a research assistant with Dr. Ming-Chung Chang at the Institute of Statistical Science, Academia Sinica during July–August 2023 and January–August 2025, and as a visiting scholar from May–August 2024.

For more details about my academic background and experience, please refer to my CV.

Research Interest

My general research lies in the intersection of machine learning & statistics, focused on collaboration, prediction, and interoperability. Here are some keywords that best describe my previous research projects:

• Sequential Decision Making
• Collaborative and Federated Learning
• Explainable AI

Education

• Incoming PhD in Mathematics Research
  • Department of Mathematics, Imperial College London. 09/2025 - expected 09/2029
  • Advisor: Prof. Kelly W. Zhang
• Master of Science in Applied Statistics
  • Department of Statistics, The University of Michigan, Ann Arbor. 08/2023 - 12/2024
  • Advisor: Prof. Raed Al Kontar
• Bachelor of Science in Mathematics
  • Department of Mathematics, National Tsing Hua University. 09/2019 - 06/2023
  • Advisor: Dr. Ming-Chung Chang

Publications

1. Bootstrap Aggregation for Regression Problems via Generalized Least Squares.
   C.-Y. Chang and M.-C. Chang.
   Submitted, 2025.

2. LLINBO: Trustworthy LLM In-the-Loop Bayesian Optimization.
   C.-Y. Chang, M. Azvar, C. Okwudire and R. A. Kontar.
   arXiv preprint arXiv:2505.14756, 2025.

3. Federated Offine Contextual Bayesian Optimization.
   C.-Y. Chang, T. Gao, Q. Chen, W. Lu and R. A. Kontar.
   Ongoing, 2025.

4. Accelerated Aggregated D-Optimal Designs for Estimating Main Effects in Black-Box Models.
   C.-Y. Chang and M.-C. Chang.
   Ongoing, 2025.

Academic Advisors

• I am extremely fortunate to have been advised by Dr. Ming-Chung Chang, an Associate Research Fellow at the Institute of Statistical Science, Academia Sinica, during my senior year as a Mathematics student. He has guided my journey into the field of statistics from then until now.
• During my master’s studies, I am very pleased to be advised by Prof. Raed Al Kontar, an Associate professor at the Department of Industrial and Operations Engineering, The University of Michigan, Ann Arbor. We collaboratively developed two papers on sequential decision-making, which sparked my interest in this field.

Services

• Reviewer: Journal of Data Science/Journal of Statistical Theory and Applications

Contact

• Address: 500D, I-HUB, Wood Ln, London, W12 0BZ.
• Email: c.chang25@imperial.ac.uk

Last Update: Sep. 1, 2025