Ozan Candogan’s research interests relate to mechanism design, decision-making in social and economic networks, and analysis of dynamic strategic interactions. Potential applications of his research include novel auction formats that can be employed for procurement, pricing and advertising mechanisms that optimally utilize available social network information, and pricing mechanisms for selling cloud-computing service.
His research has appeared in such journals as Management Science, Operations Research, Mathematics of Operations Research, and Games and Economic Behavior. His recent work on the design of novel iterative auction mechanisms for efficient allocation of resources was a finalist in the 2013 George Nicholson Student Paper Competition. He was also a winner of the 2015 LinkedIn Economic Graph Challenge and a recipient of a Microsoft Research PhD Fellowship. In addition, he was a Siebel Scholar.
Candogan received his MS and PhD degrees in electrical engineering and computer science from the Massachusetts Institute of Technology. Prior to joining Chicago Booth, he was a member of the faculty at the Fuqua School of Business, Duke University.