Assistant Professor in FinTech [Faculty Website]
School of Business, Stevens Institute of Technology
Stevens Institute for Artificial Intelligence
Altorfer 515F, 1 Castle Point Terrace, Hoboken, NJ 07030
E-mail: zyang99@stevens.edu
Phone: (+1) 201-216-5403
I am a Tenure-Track Assistant Professor in FinTech at the School of Business, Stevens Institute of Technology. I received a PhD in Data Science from the City University of Hong Kong in 2024 and a B.S. in Statistics from the Southern University of Science and Technology in 2020. My research primarily focuses on financial technology and applied machine learning. I am particularly interested in leveraging machine learning tools, including NLP/LLM, computer vision, and deep learning, to address challenges in the financial sector that involve large and multi-modal datasets. In my leisure time, I enjoy playing tennis.
In my FA690: Machine Learning in Finance course, I led a live demo with students showcasing how to build a course website using various Generative AI tools. Despite having no prior experience with HTML or CSS, we were able to create a fully functional and visually appealing site—something I’m genuinely proud of! The website hosts all lecture notes and podcast-style lecture (generated using Notebook LM). [Link to the Course Website]
I used Notebook LM to generate two podcast episodes based on two of my papers. The podcast sounds amazing! It really provides a new way of disseminating research. Check them out below:
"Gaining a Seat at the Table: Enhancing the Attractiveness of Online Lending for Institutional Investors" (with Ram Gopal, Xiao Qiao, and Moris Strub): Link to the Podcast
"Levelling the Field: Equitable Interest Rates for Unsecured Personal Loans" (with Ram Gopal, Xiao Qiao, and Moris Strub): Link to the Podcast