Burhaneddin Sandikçi studies decision-making problems under uncertainty with special interest in problems in medical decision making and health care operations. He is particularly interested in the mathematical modeling and analysis of such problems. He employs the methodologies of Markov decision processes (MDPs), partially observed MDPs, stochastic programming, and simulation in his research. His research is widely motivated by practical considerations and he heavily uses real data in calibrating and solving his models. His most recent work include modeling and analyzing the accept/reject problem faced by liver transplant patients. Using large databases and sophisticated mathematical models, this work demonstrates the impact of using the partially observable waiting list information (as available in the current practice) on patient’s life expectancies. He has given many invited talks at various institutes including Stanford University, Northwestern University, University of Michigan, and University of Southern California and at several international conferences.
His research has been published in leading journals including Operations Research,Management Science, and Mathematical Programming. His work has also been recognized at various levels by INFORMS Decision Analysis Society, INFORMS Bonder Scholarship, and IIE Pritsker Doctoral Dissertation Award.
A native of Turkey, Sandikçi earned a bachelor's degree in industrial engineering from Marmara University in Istanbul in 1999. He earned two master's degrees: one in industrial engineering from Bilkent University in Ankara in 2001 and one in operations research from the University of North Carolina at Chapel Hill in 2003. He earned a PhD in industrial engineering from the University of Pittsburgh in 2008. Sandikçi joined the Chicago Booth faculty in 2008.
2016 - 2017 Course Schedule
||Managerial Decision Modeling
Family, traveling to historical sites, TaeKwonDo, soccer, and Arabic Calligraphy.
Decision-making under uncertainty with particular interest in problems in medical decision making and healthcare operations.
With T. Best, D.D. Eisenstein, and D.O. Meltzer, "Efficient management of strained inpatient bed capacity," Working paper (2014).
With L.M. Maillart, A.J. Schaefer, and M.S. Roberts, "Alleviating the patient's price of privacy through a partially observable waiting list," Management Science (2013).
With M. Lubin, R.K. Martin, and C. Petra, "On parallelizing dual decomposition in stochastic integer programming," Operations Research Letters (2013).
With N. Kong and A.J. Schaefer, “A hierarchy of bounds for stochastic mixed-integer programs,” Mathematical Programming (2013).
With L.M. Maillart, A.J. Schaefer, O. Alagoz, and M.S. Roberts, "Estimating the patient's price of privacy in liver transplantation" Operations Research (2008).
For a listing of research publications please visit
’s university library listing