Turgay Ayer is an Assistant Professor in the H. Milton Stewart School of Industrial and Systems Engineering at the Georgia Institute of Technology. His research interests include development of applied mathematical and computational mathematical models for medical decision making and health policy problems. His methodological expertise includes stochastic optimization, completely and partially observable Markov decision processes, reinforcement learning, computer simulation, and artificial neural networks. His past works have received many awards, including the INFORMS Seth Bonder Scholarship, Society of Medical Decision Making Lee Lusted Award, INFORMS Doing Good with Good OR Award, Radiology Society of North America Best Informatics Session Presentation Award, and INFORMS Best Interactive Session Award.
Turgay Ayer received his master and PhD degrees in Industrial and Systems Engineering from the University of Wisconsin at Madison, and his BS degree from Sabanci University in Turkey. He has worked on various projects related to different aspects of healthcare, including disease prevention, cancer control, computer aided diagnosis and detection systems, development of decision support systems, healthcare delivery planning, and electronic medical records and health information exchange. His research has been published in top tier Engineering and Clinical journals. In his research, he typically collaborates with medical doctors, epidemiologists, and population health scientists. In his past work, he has been collaborated with Centers for Disease Control and Prevention (CDC), Winship Cancer Institute, MD Anderson Cancer Center, Veterans Hospital, and American Red Cross.