
Ph.D · FRM
Exploring the intersection of artificial intelligence and finance through research, teaching, and hands-on application development. Building tools for the new AI era.
AI Trading Platform
5,201 Stocks
86 Industry Sectors
AI HR Evaluation
6 Industries
3 Scoring Modes
Credentials
Ph.D & FRM
Research & Practice
Purpose
Teaching
Professional Curiosity

About
As a researcher and educator with a Ph.D. and FRM (Financial Risk Manager) certification, I am deeply interested in how artificial intelligence is transforming the financial industry and reshaping professional roles across sectors.
The two web applications showcased here are not marketing pieces — they are practical explorations built for professional curiosity and teaching purposes. When students ask about their roles in the new AI era, these tools serve as tangible demonstrations of what AI can accomplish in equity trading strategy and HR performance management.
Both platforms are freely accessible. I encourage colleagues, students, and anyone interested in AI applications to explore them and consider the implications for their own fields.
Ph.D.
Academic Research
FRM
Financial Risk Manager
AI Research
Applied AI in Finance
Teaching
Guiding the Next Generation
Projects
Two web applications built for professional exploration and teaching — demonstrating how AI transforms equity trading and HR management.

AI-Powered Equity Trading
An intelligent investment platform for the China A-share market, covering 86 industry sectors and 5,201 tradable stocks. Features AI-driven market analysis, simulated trading, strategy backtesting, portfolio optimization, and comprehensive risk management tools.

AI Agent Performance Management
An enterprise platform for evaluating AI agents like you evaluate employees. Supports three evaluation modes — manual scoring, industry KPI benchmarking, and AI auto-calculation — across six core industries including Tech, Finance, Healthcare, Manufacturing, Retail, and Education.
Expertise
Applying mathematical models and AI algorithms to financial markets, including trading strategy development, risk assessment, and portfolio optimization.
Leveraging machine learning, natural language processing, and deep learning techniques to solve real-world problems in finance and human resources.
Pioneering the evaluation and management of AI agents as digital employees, establishing performance metrics and industry benchmarks.
Guiding students and professionals in understanding their evolving roles in the AI era, bridging theory with practical application.