Hooman H. Rashidi MD, MS, FCAP

Associate Dean of AI in Medicine, Professor & Endowed Chair of Lombardi-Shinozuka Experimental Pathology Research at University of Pittsburgh School of Medicine, Executive Vice Chair of Computational Pathology & Informatics Division at UPMC, Executive Director of CPACE (Computational Pathology & AI Center of Excellence)

Dr. Rashidi combines his passion for patient care, research and education with his unique training in bioinformatics and machine learning (ML) to create innovative new tools (i.e. MILO, STNG, Pitt-GPT+, WSI-Genie, Nebulon-GPT, etc.) and resources (Hematology Outlines, Cleveland Clinic's AI course, etc.) that improve clinical practice, research and education.

His experience in AI/ML dates back to his graduate years at UCSD which subsequently allowed him to serve as the principal author and editor of several popular bioinformatics textbooks. This background has also enabled him to develop various novel AI-ML platforms. He is currently the Associate Dean of AI in Medicine, Professor & Endowed Chair of Lombardi-Shinozuka Experimental Pathology Research at the University of Pittsburgh School of Medicine, Executive Director of CPACE (Computational Pathology & AI Center of Excellence) and the Executive Vice Chair of the Computational Pathology & Informatics Division at UPMC. He is also Adjunct Professor of Engineering at the Carnegie Mellon University. Before joining University Pittsburgh / UPMC, he served as the founding director of Cleveland Clinic’s Center for Diagnostics & Artificial Intelligence & Vice Chair of Technology Innovation & Computational Pathology, and before that he served as the Director of AI for University of California Davis Medical Center and Professor & Vice chair of informatics, leading a large number of AI studies with numerous collaborators from various prominent institutions. These experiences and studies have also led to the invention of numerous products (most recent of which being the on-prem LLM framework Pitt-GPT+, the automated Image analytics frameworks WSI Genie and Auto-Pix AI) & several filed patents/established products (e.g. the University of California IP MILO: Machine Intelligence Learning Optimizer, the proprietary Automated ML platform & it’s suite of 6 complimentary separate unique Data Science and Statistics Apps & Cleveland Clinic’s new automated synthetic data generator and Validation platform STNG, Synthetic Tabular Neural Generator) along with a large number of manuscripts in which he serves as corresponding author. These products have also been licensed to several industry and academic institutions & serving as a powerful suite of data science tools for a large number of clinical, quality, research and educational projects while also starting to help optimize and expedite data access needs for all investigators.

In addition to the above, Dr. Rashidi is also a practicing physician (board certified hematopathologist) and a well-known educator with numerous teaching awards who has created some of the AppStore’s most popular hematology Apps along with Cleveland Clinic’s most recent AI-ML course (launched Cleveland Clinic wide in Jan 2024). He is also the co-founder and senior editor of HematologyOutlines, a very popular digital hematology atlas that is used internationally and endorsed by the American Society of Clinical Pathology.

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The American College of Artificial Intelligence and Medicine