About Me
I am currently a Ph.D. candidate in Analytics & Operations at Imperial College Business School, where I am very fortunate to work with Prof. Wolfram Wiesemann and Prof. Zhe Liu. My research lies at the intersection of data-driven optimization, generative AI, machine learning, geometry, and game theory, with broad applications in data science.
I received my MRes degree in Analytics & Operations from the Imperial College Business School in 2024. Prior to that, I obtained both my Bachelor's and Master's degrees from the School of Mathematics and Statistics at the Beijing Institute of Technology. During my undergraduate studies, I also participated in an exchange program at the School of Arts and Sciences, Rutgers University, from September 2018 to March 2019.
Research
Research Interests
- Data-driven Optimization
- Generative AI and Machine Learning
- Game Theory
- Geometry
Publications (*: equal contribution).
Robust Weakly Coupled Markov Decision Processes
Fupeng Sun, Huikang Liu, Zhe Liu, Wolfram Wiesemann.
Working in Progress.
Multi-Step Visual Reasoning with Visual Tokens Scaling and Verification
Tianyi Bai*, Zengjie Hu*, Fupeng Sun*, Jiantao Qiu, et al.
Preprint, 2025. [Link]
ECG Classification based on Wasserstein Scalar Curvature
Fupeng Sun, Yin Ni, Yihao Luo, Huafei Sun.
Entropy, 2022. [Link]
A novel heart disease classification algorithm based on Fourier transform and persistent homology
Yin Ni, Fupeng Sun, Yihao Luo, Zhengrui Xiang, Huafei Sun.
EEBDA, 2022. [Link]
The Bayesian Inference of Pareto Models Based on Information Geometry
Fupeng Sun, Yueqi Cao, Shiqiang Zhang, Huafei Sun.
Entropy, 2021. [Link]
Others
Awards & Honors
- 24
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23
Dean’s List for Academic Excellence
Imperial College Business School, 2023–2024
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23
XUTELI Scholarship at Beijing Institute of Technology
2023. (Highest honor at BIT)
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22
Self-Improvement Star Scholarship
Ministry of Education of China, 2022. (Only 1,832 students received this nationwide)
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National Scholarship (4x Recipient)
Ministry of Education of China, 2022, 2021, 2019, 2017
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Excellent Student of Beijing (2x Recipient)
Beijing Municipal Education Commission, 2022, 2021
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First Prize, "Internet+" Competition, Beijing Site
China Int'l College Students' Innovation Competition, 2022
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20
Outstanding Graduate of Beijing
Beijing Municipal Education Commission, 2020
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Second Prize, National Mathematical Competition
Chinese Mathematical Society (CMS), 2019
Professional Service
Co-organizer: Session "Robust Dynamic Decision Making" of the 2025 INFORMS Annual Meeting.
Reviewer: NeurIPS, ICLR, ICML.
Teaching
Imperial College Business School
TA-
Summer 2025
Big Data, AI & Machine Learning (Executive MBA & Global Online MBA)
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Summer 2025
Data Analytics and Visualisation for Business (Global Health Management)
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Fall 2024 & Spring 2025
Logistics & Supply Chain Analytics (Business Analytics & Online)
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Fall 2024
Maths and Statistics Foundations for Analytics (Business Analytics)
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Fall 2024
Optimisation (PhD)
Previously at Beijing Institute of Technology
TA & Lecturing- Mathematical Analysis
- Advanced Algebra
- Probability Theory
- Mathematical Statistics
- Matrix Analysis
- Graph Theory
- Topology
Talks
- INFORMS Annual Meeting, Atlanta, October 2025 [scheduled]
- 2025 International Workshop on Applied Geometry and Related Topics, Keio University, July 2025
- 2024 IMS-China International Conference on Statistics and Probability, Yinchuan, July 2024
- The 15th International Annual Conference of the Chinese Scholars Association for Management Science and Engineering, CUHK (Shenzhen), July 2023
Miscellanies
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I delivered the valedictorian speech at Beijing Institute of Technology in July 2023.
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For those who are interested, my Chinese name is 孙(Sun) 福鹏(Fupeng).