LLMs for Finance
This course explores how AI is changing financial research. Based on new studies from top journals, it shows how AI models are used in finance today. You will learn AI basics, as well as advanced tools such as FinBERT and ChatGPT for analyzing text. Main topics include measuring company culture, understanding global business networks, spotting fake financial news, tracking economic moods, and more. Finally, the course teaches ways to make better investments, such as predicting stock prices and pulling useful facts straight from company reports.
Lecturer
Date
26th February ~ 14th May, 2026
Location
| Weekday | Time | Venue | Online | ID | Password |
|---|---|---|---|---|---|
| Thursday | 08:50 - 12:15 | A3-4-312 | ZOOM 07 | 559 700 6085 | BIMSA |
Audience
Undergraduate
, Advanced Undergraduate
, Graduate
, Postdoc
, Researcher
Video Public
No
Notes Public
No
Language
Chinese
, English
Lecturer Intro
Dr. Zhen Li is an assistant professor at BIMSA. He is also a visiting research fellow at the Chongyang Institute for Financial Studies, Renmin University of China, and the International Monetary Institute, Renmin University of China. He was a postdoctoral fellow from 2020-2022 at the School of Data Science, Fudan University, and an assistant research fellow from 2013-2016 at the Chongyang Institute for Financial Studies, Renmin University of China. Dr. Li received his Ph.D. in Finance, M.A. in Statistics, and B.A. in Finance from the Renmin University of China, and his B.E. in Software Engineering from Nanjing University. He was a visiting scholar from 2019-2020 at the School of Business, George Washington University. His current research focuses on financial machine learning, digital finance, data factors and risk management. Dr. Li has published more than 40 articles in some academic journals, such as Journal of Financial Research, Statistical Research, China Economic Review , etc.