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Pooyan Kazemian is the John R. Mannix Medical Mutual of Ohio Endowed Professor of Healthcare Management and an Assistant Professor in the Department of Operations Management at ÐÇ¿Õ´«Ã½ (ÐÇ¿Õ´«Ã½). Prior to joining ÐÇ¿Õ´«Ã½ in 2020, he was on the faculty at Harvard Medical School.

Pooyan’s research lies at the intersection of machine learning (ML), artificial intelligence (AI), and data-driven optimization with application to healthcare management. 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 delivery and to inform public health policy. 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 advanced cryptographic schemes such as zero-knowledge proofs (ZKP) can be coupled with ML/AI models to enable trustless and verifiable computation.

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, Manufacturing and Service Operations Management (MSOM), JAMA Internal Medicine, and Annals of Internal Medicine, among others, as well as various competitions of INFORMS and POMS communities.

Initially Appointed: 2020