Osman Ozaltin joined North Carolina State University in August 2013 as a Chancellor’s Faculty Excellence Program cluster hire in Personalized Medicine. He is an Associate Professor in the Edward P. Fitts Department of Industrial and Systems Engineering and part of the Healthcare Systems Engineering group. His research interests span theoretical, computational, and applied aspects of mathematical programming, focusing on multilevel stochastic optimization problems arising in public health policy making, personalized medical decision-making, and healthcare delivery. He is also interested in developing efficient algorithms for large-scale combinatorial problems in bioinformatics. His methods include integer programming, combinatorial optimization, stochastic programming, bilevel programming, quadratic programming, and decomposition algorithms.
Prior to joining NC State, Ozaltin was an Assistant Professor of Management Sciences at the University of Waterloo, Canada. His publications appeared in top academic journals including Operations Research and Mathematical Programming. He received the distinguished Institute of Industrial Engineers Best Dissertation Award in 2013 for his work to optimize the annual influenza vaccine design. Ozaltin’s formal education began with a BS in Industrial Engineering from Bogazici University in Istanbul, Turkey. He then received his MS and Ph.D. in Industrial Engineering from the University of Pittsburgh. Osman Ozaltin
North Carolina State University
- Associate Professor of Personalized Medicine
Osman Ozaltin joined North Carolina State University in August 2013 as a Chancellor’s Faculty Excellence Program cluster hire in Personalized Medicine. He is an Associate Professor in the Edward P. Fitts Department of Industrial and Systems Engineering and part of the Healthcare Systems Engineering group. His research interests span theoretical, computational, and applied aspects of mathematical programming, focusing on multilevel stochastic optimization problems arising in public health policy making, personalized medical decision-making, and healthcare delivery. He is also interested in developing efficient algorithms for large-scale combinatorial problems in bioinformatics. His methods include integer programming, combinatorial optimization, stochastic programming, bilevel programming, quadratic programming, and decomposition algorithms.
Prior to joining NC State, Ozaltin was an Assistant Professor of Management Sciences at the University of Waterloo, Canada. His publications appeared in top academic journals including Operations Research and Mathematical Programming. He received the distinguished Institute of Industrial Engineers Best Dissertation Award in 2013 for his work to optimize the annual influenza vaccine design. Ozaltin’s formal education began with a BS in Industrial Engineering from Bogazici University in Istanbul, Turkey. He then received his MS and Ph.D. in Industrial Engineering from the University of Pittsburgh.