معرفی
Yun Shin Lee is an Associate Professor with Tenure at KAIST College of Business, Korea Advanced Institute of Science and Technology, where she has served since 2020 after progressing from Assistant Professor (2012-2020). Her academic journey includes a Ph.D. and M.Phil. in Management Science from Cambridge University's Judge Business School and dual engineering degrees from Imperial College London.
Her research centers on Behavioral and Empirical Operations Management, investigating judgmental forecasting, decision-making biases in inventory systems, and supply chain behavioral dynamics. Current projects explore AI-forecasting interfaces, wearable-based health prediction, and pandemic-related operational disruptions, employing experimental and empirical methodologies to bridge theoretical insights with practical applications.
Professor Lee's publication portfolio demonstrates consistent high-impact contributions to top journals including Management Science and Journal of Operations Management, with recent work (2023-2025) addressing timely issues like Shanghai lockdown recovery and COVID-19 forecasting. Her research shows increasing integration of machine learning with behavioral operations and growing international collaboration scope.
Her accolades include:
- KAIST Excellence in Education Awards (2024, 2019)
- KAIST Q-Day Special Faculty Award for Internationalization (2024)
- Yumin Isangmoon Young Production Management Scholar Award (2019)
- KAIST Founding Anniversary Academic Award (2019)
- Economic and Social Research Council Fellowship during doctoral studies
She actively mentors graduate students through KAIST's MBA and doctoral programs, currently supervising four students while maintaining strong industry-academia connections. Her teaching portfolio spans Operations Strategy, Business Analytics, and specialized Behavioral Operations courses, consistently recognized for pedagogical excellence.
Professor Lee leads collaborative research initiatives examining human-AI interaction in forecasting, supply chain resilience during disruptions, and digital health applications, maintaining an interdisciplinary approach that connects operations theory with behavioral science and data analytics.
