Jiayi He is a master student in Management Science and Engineering at the School of Business, Sun Yat-sen University. He obtained a B.Eng. in Traffic Engineering (Intelligent Transportation) from the School of Intelligent Systems Engineering, Sun Yat-sen University.
His current research focuses on FinTech (e.g., Web3) and financial risk management, particularly in the payment domain. He has experience in game theory, operations research, and deep learning, with publications in SCI-indexed journals.
Jiayi is passionate about observing economic, finance and business phenomena in daily life and is enthusiastic about applying new technologies such as AI and blockchain to practical business and financial problems.
Background
- Sep 2024 – Present:
- MSc student in Management Science and Engineering, School of Business, Sun Yat-sen University
- Sep 2020 – Jun 2024:
- BEng in Traffic Engineering (Intelligent Transportation), School of Intelligent Systems Engineering, Sun Yat-sen University
- GPA: 4.1/5 (Ranked 2/58); National Scholarship (2021); Outstanding Graduate (2024)
- BEng in Traffic Engineering (Intelligent Transportation), School of Intelligent Systems Engineering, Sun Yat-sen University
Selected Research Experience
- Undergraduate Thesis (2024): Slot Sharing and Service Competition Strategies for Liner Shipping Companies under Demand Uncertainty
- Constructed game-theoretic models for a two-tier maritime supply chain with multiple sharing mechanisms, deriving managerial insights for operational optimization.
- Undergraduate Research Project (2021-2022): Multi-objective Optimization of Signalized Intersections under Mixed Traffic Flow
- Led a university-funded project applying operations research to real-world traffic environments in Shenzhen.
- SCI Publication (Third author, 2023): Sequence-based Local–Global Information Fusion Framework for Vertebrae Detection
- Published in Computerized Medical Imaging and Graphics (SCI Zone II).
Competition Awards
First Prize in the National Undergraduate Mathematics Competition (Guangdong Province)
First Prize in the National Undergraduate Mathematical Modeling Competition (Guangdong Province)
Second Prize in the National Undergraduate Transport Science and Technology Competition (National Level)
Internship
Beyond academia, Jiayi interned in the Department of Data Analysis and Algorithm at Ruqi Mobility, where he worked on operational performance prediction, flow filtering mechanisms based on marginal revenue analysis, and reinforcement learning models for order dispatching, enhancing platform resource allocation efficiency and driver income.
Technical Skills
- Programming & Data Analysis: Python, MATLAB, SQL, C
- Methodology: Game-theoretic modeling, Operations research (Optimization), Deep learning
- Documentation: LaTeX, Microsoft Office
Interests
- Long-distance running, tennis, hiking
- City exploration in the Greater Bay Area
- Observing and analyzing economic, technological, and business trends