Hi there, I’m Buyun

I am a Ph.D. Candidate in Operations and Decision Technologies at the Kelley School of Business. Before joining Kelley, I earned a Master of Science from the S.C. Johnson College of Business at Cornell University and a Bachelor of Science in Business and Economics from the University of Queensland.

My research focuses on healthcare operations, examining how the dynamic interplay between provider capacity and patient demand creates self-reinforcing interdependencies in care delivery. My research centers on two core areas: Pain Operations Management, where I use large-scale data to evaluate the benefits of early pain management interventions and design referral policies that prioritize patients who gain the most from scarce specialist appointments; and Infection Aware Nurse Staffing, where I model how staffing decisions interact with disease transmission to mitigate infection-driven absenteeism and build workforce resilience during outbreaks. Together, these projects aim to break vicious feedback loops in healthcare delivery, improve system performance, and enhance patient outcomes.

Beyond healthcare applications, I also develop technical models and methodology for service operations, with a particular interest in embedding learning mechanisms (e.g., Bayesian learning) into service systems. My work examines how information revealed during service—such as patient characteristics—can be incorporated into scheduling and capacity decisions.