Regular biography
Pooyan Kazemian is an Assistant Professor of Innovation at the University of California, San Diego, within the Rady School of Management. His research interests focus on innovation and entrepreneurship. Kazemian's work explores the dynamics of innovation within organizational and technological contexts. He is affiliated with the Business Administration department and maintains an active academic profile through his website and contact email.
Scholar-generated biography
Pooyan Kazemian is a researcher at the University of California, San Diego, focusing on Artificial Intelligence, Machine Learning, Blockchain, Medical Decision Making, and Health Policy. His work explores the application of AI and machine learning in healthcare, particularly in medical decision-making and health policy. He has published extensively on topics such as the cost-effectiveness of public health strategies for epidemic control, personalized prediction of glaucoma progression, and the clinical impact of expanded testing for severe acute respiratory syndrome coronavirus 2. His research also addresses challenges in healthcare delivery, including resource allocation and patient access to care. Kazemian's contributions span both clinical and policy domains, emphasizing the integration of technology to improve health outcomes.