معرفی
Daniel Chen is an Assistant Professor of Business Analytics at the Carroll School of Management, Boston College. His research focuses on strategy in online platforms, leveraging machine learning and structural estimation to analyze two-sided markets and gig economy dynamics. He holds a Ph.D. in Operations Management from the Wharton School (University of Pennsylvania), advised by Gad Allon, and degrees from the University of Southern California, including an M.S. in Mathematical Finance and a B.S. in Economics/Mathematics. His work addresses strategic interactions between platforms and users, with a particular emphasis on data-driven solutions.
Research Interests: Chen’s research spans gig economy operations, causal inference with machine learning, algorithmic transparency, and network-based rating systems. He collaborates with industry partners like driver analytics companies to study worker behavior, platform efficiency, and policy impacts. His methodologies combine theoretical modeling with empirical analysis, addressing real-world challenges in platform design and regulatory frameworks.
Awards:
- Finalist, 2023 INFORMS Behavioral Operations Management Best Working Paper Award
Labs/Teams: Collaborates with a driver analytics company to analyze gig economy datasets, contributing to both academic research and practical policy recommendations. His work bridges theoretical insights with actionable strategies for platforms and regulators.
