TOGETHER, WE GO FAR!
Join Our Lab!
In our lab, you will be trained to write a high-quality master’s thesis with the potential to become a journal publication (preferably in SCIE or SSCI journals). You can find examples of previous lab members whose master’s research led to published papers — a great way to see what’s possible when you commit to excellence.
We emphasize research that is transparent, reproducible, and contributes meaningfully to the literature.
We’re looking for students who demonstrate:
- Passion and curiosity for learning
- Strong execution and resilience
- Leadership and teamwork spirit
- Good presentation and communication skills
- Solid foundations in math, statistics, machine learning, coding, and finance
If you’re driven, curious, and eager to make your research count — we’d love to work with you.
My research spans several key areas, with Lab Members actively collaborating on ongoing projects across these domains.
1. FinTech with machine learning and AI
Our lab explores machine learning and AI, emphasizing unsupervised learning, supervised learning, and large language models (LLMs), with applications
- Credit scoring (Mabel, Eva)
- Fraud detection (Chrissy)
- Trading strategies and portfolio management (Ben, Deron, Ares, Elvis)
2. Financial engineering with time series and graphical models
We specialize in statistical methods, particularly time series and graphical models, wich applications
- Financial Risk managemet: VaR, graphical models (Jason, Martin, Frank, Guan-Lin, Yi-Le)
- Financial options pricing, and dynamic hedging: Cryptocurrencies and Taiwan Futures Market (Allen, Elvis)
Interested in joining?
Let’s make an impact together!
- Enrolling in my Machine Learning & FinTech course is a great way to build relevant skills for our research — it’s highly recommended but not required.
- Email me your CV, transcripts, and a short statement of purpose (150 words max).