معرفی
Zonghao Yang is a Tenure-Track Assistant Professor in FinTech at the School of Business, Stevens Institute of Technology, and a member of the Stevens Institute for Artificial Intelligence. His research focuses on applying machine learning techniques such as NLP, computer vision, and deep learning to address challenges in financial technology and multi-modal datasets.
Education:
- PhD in Data Science, City University of Hong Kong (2024)
- Bachelor of Science in Statistics, Southern University of Science and Technology (2020)
Research Interests: Portfolio optimization, credit risk assessment, NLP applications in finance, and equitable financial systems. He emphasizes leveraging large language models and multi-modal data for real-world financial problems.
Key Contributions: Recent work includes enhancing online lending attractiveness for institutional investors and developing equitable interest rate models for personal loans. His podcast-style research dissemination via Notebook LM highlights innovative outreach methods.
Awards:
- Outstanding Academic Performance Award, City University of Hong Kong (2023)
Teaching: Courses include FA690 Machine Learning in Finance (featuring AI-generated course websites) and FE535 Financial Risk Management. He actively integrates generative AI tools into pedagogy, such as creating a course chatbot and podcast series.
Affiliations: Stevens Institute for Artificial Intelligence, School of Business.
