
معرفی
Yen-Sheng Lee is an Assistant Professor of Business in Finance at Colorado Mesa University, affiliated with the College of Business. He holds a PhD in Financial Economics from the University of New Orleans and is a Chartered Financial Analyst (CFA), bringing both academic and professional expertise to his role.
His educational background includes an MBA in Finance from the University of Missouri, Columbia; an MS in Industrial Engineering from Yuan-Ze University; and a BS in Mechanical Engineering from National Taipei Institute of Technology.
Dr. Lee's research lies at the intersection of corporate finance and behavioral finance, with growing applications in financial technology, including machine learning models for crowdfunding prediction, behavioral biases in trading strategies, and cryptocurrency market dynamics. His recent work explores Bitcoin's price maturity during global shocks and the interplay between venture capital and crowdfunding success.
The analysis of his publications reveals a consistent focus on market behavior, investor psychology, and financial innovation. He frequently employs econometric and structural break analysis techniques, particularly in cryptocurrency research, and applies machine learning in alternative finance contexts. His work bridges traditional financial theory with emerging digital asset markets.
- Chartered Financial Analyst (CFA)
Dr. Lee has taught economics, corporate finance, investments, international finance, and risk management for over a decade, previously at Bellevue University before joining Colorado Mesa University. While no specific grants or student advisees are listed, his extensive publication record suggests active research engagement and potential mentorship in finance research. He may contribute to curriculum development in fintech and behavioral finance.
There is no mention of a dedicated research lab or formal research team, but his collaborative publications indicate active scholarly partnerships with researchers such as Chang, Vo, Chapman, and Tseng.


