Dr. Ilbin Lee

Biography

Ilbin Lee is an Associate Professor at the Alberta School of Business, specializing in the Department of Accounting and Business Analytics. His work focuses on decision-making processes in various domains, including healthcare, data uncertainty, and wildfire operations. He employs advanced techniques such as reinforcement learning and Markov decision processes to inform policymaking. Lee has contributed to several notable publications, including studies on predictive models for hospital readmission and large-scale optimization problems. His research papers appear in prestigious journals like Operations Research and the European Journal of Operational Research. Lee is also actively involved in sharing his findings at conferences, presenting on topics like the impact of initial attack resources in wildfire suppression and the challenges of data collection in reinforcement learning. He has taught courses in Predictive Business Analytics, focusing on the application of predictive statistical models across various industries. Lee holds an ORCID ID for his academic work and is dedicated to advancing the field of business analytics through his research and teaching.

Research Interests

Courses