Pooyan Kazemian, PhD, Assistant Professor of Operations, joined the Weatherhead School of Management in 2020. Prior to that, he was on the faculty at Harvard Medical School.
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 enhance the testing and diagnosis of chronic and infectious diseases. He also employs stochastic and robust optimization to personalize disease monitoring and treatment.
More recently, Dr. Kazemian has been interested in blockchain technology and how distributed ledgers and smart contracts coupled with AI and IoT can be used to address supply chain challenges.
Pooyan’s research has been featured on NPR, The NY Times, Science Codex, Yahoo Finance, Business Standard, and a number of other major news outlets. Dr. 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.
Initially Appointed: 2020
Teaching Information
Teaching Interests
- Blockchain
- Machine Learning and Artificial Intelligence
- Business Analytics
- Decision Making in Healthcare
- Simulation
Courses Taught
- Machine Learning and Artificial Intelligence in Business Analytics
- Statistics and Decision Modeling
- Blockchain Technology in Supply Chain Management
- Probability, Statistics, and Quantitative Methods
- Spreadsheet and Business Process Simulation - I
- Spreadsheet and Business Process Simulation - II
Office Hours
By Appointment Only
Research Information
Research Interests
- Healthcare Operations Management
- Medical Decision Making
- Health Policy
- Applications of Machine Learning, Artificial Intelligence and Optimization in Healthcare Management
- Blockchain Technology
Awards and Honors
- George B. Dantzig Dissertation Award, 2nd place2016Institute for Operations Research and the Management Sciences (INFORMS)
- Best Paper Competition, College of Healthcare Operations Management, 1st place2016Production and Operations Management Society (POMS)
- Bonder Scholarship for Applied Operations Research in Health Services2013Institute for Operations Research and the Management Sciences (INFORMS)
External Appointments
- Institute for Operations Research and the Management Sciences (INFORMS). 2012 - Present
- Production and Operations Management Society (POMS). 2012 - Present
Publications
- Keyvanshokooh, E. , Kazemian, P. , Fattahi, M. , Van Oyen, M. P. (2022).
Coordinated and priority-based surgical care: An integrated distributionally robust stochastic optimization approach Production and Operations Management - Zokaeinikoo, M. , Kazemian, P. , Mitra, P. , Kumara, S. (2021).
AIDCOV: An interpretable artificial intelligence model for detection of COVID-19 from chest radiography images ACM Transactions on Management Information Systems (TMIS) - Kazemian, P. , Shebl, F. M., McCann, N. , Walensky, R. P., Wexler, D. J. (2019).
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. (2019).
Dynamic monitoring and control of irreversible chronic diseases with application to glaucoma (vol. 28, issue 5, pp. 1082--1107) Production and Operations Management