Pooyan Kazemian, PhD, Assistant Professor of Operations, joined the Weatherhead School of Management in 2020. Prior to that, he was on faculty at Harvard Medical School.Personal Website
Pooyan’s research lies at the intersection of machine learning, artificial intelligence (AI), and data-driven optimization with application to healthcare. His research addresses pressing problems in the areas of healthcare operations management, medical decision making, and health policy. Kazemian’s research strives to improve the quality of care, access to care, and health outcomes at a lower cost. He is particularly interested in novel applications of deep learning and AI to improve the operational aspects of healthcare and to enhance the testing and diagnosis of chronic and infectious diseases. He also employs stochastic and robust optimization to personalize disease monitoring and treatment. Kazemian’s research has been featured on NPR, NY Times, and a number of other major news outlets.
Pooyan’s teaching interests include machine learning and artificial intelligence in business analytics and healthcare management, decision making in healthcare, and simulation modeling.
Kazemian has served as a reviewer for several scientific journals, including Management Science, Operations Research, INFORMS Journal on Computing, and Annals of Internal Medicine, among others, as well as various competitions of INFORMS and POMS communities.
PhD, University of Michigan, 2016
Initially Appointed: 2020
Healthcare Operations Management; Medical Decision Making; Health Policy; Applications of Machine Learning, Artificial Intelligence and Optimization in Healthcare Management
Machine Learning and Artificial Intelligence; Business Analytics; Decision Making in Healthcare; Simulation
Recent Courses and SyllabiCourse evaluation ratings (login required)
- Kazemian, P., Shebl, F. M., McCann, N., Walensky, R. P., Wexler, D. J.
Evaluation of the cascade of diabetes care in the United States, 2005-2016
(vol. 179, issue 10, pp. 1376--1385).
JAMA Internal Medicine.
- Kazemian, P., Helm, J. E., Lavieri, M. S., Stein, J. D., Van Oyen, M. P.
Dynamic monitoring and control of irreversible chronic diseases with application to glaucoma
(vol. 28, issue 5, pp. 1082--1107).
Production and Operations Management.
- Institute for Operations Research and the Management Sciences (INFORMS). 2012 - Present
- Production and Operations Management Society (POMS). 2012 - Present
- George B. Dantzig Dissertation Award , INFORMS. (2016).
- Best Paper Competition, College of Healthcare Operations Management , POMS. (2016).
- Bonder Scholarship for Applied Operations Research in Health Services, INFORMS. (2013).