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Bariş Ata

Baris Ata

Bariş Ata’s research focuses on dynamic decision making in complex settings under uncertainty. Ata takes a problem-driven approach to bridge the theory and the practice of operations management, and has used stochastic models to study stochastic networks, manufacturing and service operations, revenue management, delivery of health care services and operational innovation in the social sector. On the theory side, Ata’s current research interests include solving high-dimensional stochastic control and learning problems. On the application side, Ata currently works on identifying the right candidates for xenotransplantation, operational improvements in the criminal justice system and alleviating the logistical challenges in the last-mile delivery problems in Africa.


The University of Chicago Booth School of Business
5807 South Woodlawn Avenue
Chicago, IL 60637
Office: HC 530