Yixuan Li

Yixuan Li

Biography

Yixuan Li received her PhD from the FinTech Team within the Adam Smith Business School, University of Glasgow, supervised by Prof. Charalampos Stasinakis and Dr. Wee Meng Yeo. Her doctoral research focuses on Financial technology, risk management, banking systems, and their implications for financial stability and market design. Her current research interests primarily lie in the following areas:

  • Machine Learning in Finance: Feature Selection, Imbalanced Data Issue, Explainability,
  • Credit Risk Management: Digital Supply Chain Finance (DSCF), P2P Lending,
  • Agentic FinTech: AI financial agents, automated risk management, and trustworthy AI in finance.

Education

[2019-2024] University of Glasgow (UofG, QS Top 100), Glasgow, UK

  • PhD in Finance (Research)

[2018-2019] University of Glasgow (UofG, QS Top 100), Glasgow, UK

  • MSc in International Banking and Finance

[2014-2018] Shandong University , Shandong, China

  • Bachelor of Economics

Publications

  • Yixuan Li, Yaxiong Wu. “Agentic FinTech: A Comprehensive Survey on AI Agents in Finance in the Era of LLMs.” SSRN 2026.[PDF]
  • Yixuan Li, Charalampos Stasinakis, Wee Meng Yeo. “Fintech, financial development and banking efficiency: evidence from Chinese commercial banks.” The European Journal of Finance 2025.[PDF]
  • Yixuan Li. “Essays in financial technology: banking efficiency and application of machine learning models in Supply Chain Finance and credit risk assessment.” University of Glasgow 2024.[PDF]
  • Yixuan Li, Charalampos Stasinakis, Wee Meng Yeo. “A Comprehensive Analysis for P2P Lending Credit Risk Assessment on Imbalanced Data and Feature Selection.” SSRN 2023.[PDF]
  • Yixuan Li, Charalampos Stasinakis, Wee Meng Yeo. “A hybrid XGBoost-MLP model for credit risk assessment on digital supply chain finance.” Forecasting 2022.[PDF]

You can also find my papers on my Google Scholar profile.

Teaching