Pooyan Kazemian

Pooyan Kazemian serves as Assistant Professor of Innovation, Technology and Operations at UC San Diego's Rady School of Management since 2025, following faculty appointments at Case Western Reserve University (2020-2025) and Harvard Medical School (2017-2020). His research bridges artificial intelligence, machine learning, and healthcare operations to address critical challenges in medical decision-making and health policy.

Education

• Ph.D. in Industrial and Operations Engineering, University of Michigan (2016)

Research Focus

Dr. Kazemian develops novel AI applications for healthcare management, specializing in deep learning for operational improvements, personalized disease treatment strategies, and cryptographic verification of medical AI systems. His methodological expertise spans machine learning, optimization modeling, causal inference, and zero-knowledge cryptography, applied to healthcare operations, medical diagnostics, and public health policy. Recent work demonstrates significant impact through publications in Management Science, Production and Operations Management, and high-impact medical journals.

Publication Trends

His publication record reveals increasing focus on AI-driven healthcare solutions since 2019, with recent work emphasizing pandemic response modeling (2021-2024), chronic disease management (2019, 2023), and theoretical advances in medical decision-making (2025). The research portfolio demonstrates consistent collaboration with medical institutions and interdisciplinary teams addressing real-world healthcare challenges through operations research lenses.

Professional Recognition

Research featured in major media outlets including NPR, The New York Times, and Science Codex, highlighting real-world impact of his healthcare operations research.