Taewoo Lee is an Associate Professor of Operations Management at Seoul National University. His research broadly focuses on eliciting decision-makers’ preferences and utilities based on their past behavior and choices and optimizing service operations under uncertainty and ambiguity. He is particularly interested in applying preference elicitation and quantitative optimization techniques to improve the efficiency and stability of healthcare operations, and to design socially responsible service operations by aligning the preferences of different stakeholders and promoting fairness and access to services.

His latest research interests include:
• Theory and applications of inverse optimization and preference elicitation
• Facility location and resource allocation for addressing disparities in access to service among vulnerable and underserved populations
• Incentive and reimbursement policy design to promote equitable care/service practices
• Cancer treatment design and operations management

His work has been published in journals such as Management Science and Operations Research and has been recognized with best paper prizes from the INFORMS Healthcare Application Society, INFORMS Multi Criteria Decision Making Community, and the Canadian Operational Research Society. His research has been supported by the United States Department of Health and Human Services, the Centers for Medicare and Medicaid Services, and the US National Science Foundation. Before joining SNU, he was on the faculty of the University of Pittsburgh, Rice University, and the University of Houston for seven years. Dr. Lee received a Ph.D. in Operations Research from the University of Toronto.

[Employment]

• Seoul National University
- Associate Professor of Operations Management (2024-Present), SNU Business School
• University of Pittsburgh
- Assistant Professor of Industrial Engineering (2022-2024)
• Rice University
- Adjunct Assistant Professor (2021-2023), Department of Computational Applied Mathematics and Operations Research
• University of Houston
- Assistant Professor (2021-2022), Bauer School of Business (joint appointment)
- Assistant Professor (2017-2022), Department of Industrial Engineering

[Education]

• PhD in Operations Research, University of Toronto, Toronto, ON, Canada, 2015
• MEng in Industrial Engineering, University of Toronto, Toronto, ON, Canada 2010
• BEng in Industrial Engineering, Korea University, Seoul, South Korea, 2008

[Selected Journal Publications]

• • D. Mildebrath, T. Lee, S. Sinha, A. J. Schaefer, A. O. Gaber. “Characterizing rational transplant program response to outcome-based regulation.” Operations Research, 72(4), 1421-1437, 2024 )
• • T. Ajayi, T. Lee, A. J. Schaefer. “A note on the implications of approximate submodularity in discrete optimization.” Optimization Letters, 17 (1), 1-17, 2023
• • P. Dorali, Z. Shahmoradi, C. Y. Weng, T. Lee. “Cost-effectiveness analysis of a personalized, teleretinal-inclusive screening policy for diabetic retinopathy utilizing Markov modeling.” Ophthalmology Retina, 7 (6), 532-542, 2023
• • T. Ajayi, T. Lee, A. J. Schaefer. “Objective selection for cancer treatment: An inverse optimization approach.” Operations Research, 70 (3), 1717-1738, 2022
• • Z. Shahmoradi, T. Lee. “Optimality-based clustering.” Operations Research Letters, 50 (2), 205-212, 2022
• • Z. Shahmoradi, T. Lee. “Quantile inverse optimization.” Operations Research, 70(4), 2538-2562, 2022
• • A. Babier, T. C. Y. Chan, T. Lee, R. Mahmood, D. Terekhov. “An ensemble learning framework for model fitting and evaluation in inverse linear optimization.” INFORMS Journal on Optimization, 3 (2), 119-126, 2021
• • T. C. Y. Chan, T. Lee, D. Terekhov. “Inverse optimization: Closed-form solutions, geometry and goodness of fit.” Management Science, 65 (3), 1115-1135, 2019
• • T. C. Y. Chan, T. Lee. “Trade-off preservation in inverse multi-objective convex optimization.” European Journal of Operational Research, 270 (1), 25-39, 2018
• • K. Ghobadi, T. Lee, H. Mahmoudzadeh, D. Terekhov. “Robust inverse optimization.” Operations Research Letters, 46 (3), 339-344, 2018
• • Tavaslioglu, T. Lee, S. Valeva, A. J. Schaefer. “On the structure of the inverse-feasible region of a linear program.” Operations Research Letters, 46 (1), 147-152, 2018
• • J. J. Boutilier, T. Lee, T. Craig, M. B. Sharpe, T. C. Y. Chan. “Models for predicting objective function weights in prostate cancer IMRT.” Medical Physics, 42 (4), 1586-1595, 2015
• • T. C. Y. Chan, T. Craig, T. Lee, M. B. Sharpe. “Generalized inverse multi-objective optimization with application to cancer therapy.” Operations Research, 62 (3), 680-695, 2014
• • T. Lee, M. Hammad, T. C. Y. Chan, T. Craig, M. B. Sharpe. “Predicting objective function weights from patient anatomy in prostate IMRT treatment planning.” Medical Physics, 40 (12), 121706, 2013



Please visit my personal webpage at https://taewoojlee.github.io