I am a research assistant with Dr. Ming-Chung Chang at the Institute of Statistical Science, Academia Sinica. Before joining Academia Sinica, I earned a Master’s degree in Applied Statistics from the University of Michigan, Ann Arbor, in 2024 and a Bachelor’s degree in Mathematics from National Tsing Hua University in 2023. For more details about my background, 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. Collaboration is All You Need Towards Trustworthy LLM-assisted Bayesian Optimization. C.-Y. Chang, M. Azvar, C. Okwudire and R. A. Kontar. Ongoing, 2025.
3. FCBO: Federated Contextual Bayesian Optimization for Cross-Context Collaboration. C.-Y. Chang and R. A. Kontar. 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.

Contact

• Address: 116, Statistical Science Building, Academia Sinica.
• Email: cchihyu at {umich.edu, stat.sinica.edu.tw}