Jian GUO, Ph.D.
Executive President of International Digital Economy Academy (IDEA)
Chief Scientist of AI Finance & Deep Learning at IDEA Research
Professor of Practice at The Hong Kong University of Science and Technology
Professor of Practice at Tsinghua University
[Office] Room 3901, CFC Building, 5 Shihua Road, Futian District,
Shenzhen, China
[Email] xxxyyyy@idea.edu.cn (where xxx is my last name and yyyy is my first name)
Introduction
As a founding member, Dr. Jian Guo is the first
technical expert assisting Dr. Harry
Shum to found the International Digital Economy Academy (IDEA), and
he is acting as the Executive President of IDEA as well as the Chief Scientist of AI Finance and Deep
Learning. He is the founder of IDEA's AI Finance and Deep Learning
Research Center (IDEA-FinAI), leading a number of research projects including FinAI-X (a.k.a Finance
AI Brain), financial behavioral knowledge graph and relevant knowledge reasoning techniques, large-scale
deep learning models for finance application, simulation of financial market micro-structure using
reinforcement learning etc. In addition, Dr. Guo is a Professor of Practice at Tsinghua University (Shenzhen International Graduate
School). He is also a Professor of Practice at Hong Kong University
of Science and Technology (Guangzhou) and an Advisor to the President for Financial Technology
(Fintech).
Prof. Guo started his professorship
(tenure-track) at Harvard University, being a faculty/expert in data
science and machine learning. He published a number of research papers in statistical machine learning, deep
learning, reinforcement learning, probabilistic graphical model and bioinformatics, and his research have
been applied to various areas including recommendation systems, search engine systems, computational
advertising, gene sequence analysis and genetic disease prognosis, credit risk analysis and quantitative
investment. Dr. Guo is also one of the pioneering researchers who explored the application of
deep/reinforcement learning techniques in finance investment and risk management, and he has over five years
quantitative investment and entrepreneurship experience in financial market. Dr. Guo received his Ph.D.
degree from Department of Statistics at University of Michigan (major in machine learning) in US, and completed his
undergraduate study from Tsinghua University (major in
mathematics and applied mathematics) in China.
Research Interest and Research Projects
My mission in the next 20 years is to build an
"AI super brain" for finance industry. My current research interest includes:
- Research/develop new deep/reinforcement learning algorithms and frameworks for finance time series
prediction, trading execution, quantitative investment and risk management
- Research new models/algorithms/systems for reasoning large-scale financial knowledge graphs, economic
behaviors and economic events
- Large-scale deep learning sequential modeling (aiming to 100B+ parameters) for financial market analysis
and prediction
- System1-system2 hybrid modeling and cognition machine learning driven by scenarios, applications and
problems in finance