I am an Assistant Professor of Health Informatics in the Department of Health Information Management within the School of Health and Rehabilitation Sciences at the University of Pittsburgh, with a secondary appointment in the Intelligent Systems Program (ISP), at the School of Computing and Information. I am also leading our efforts at the Pitt HexAI Research Laboratory. Furthermore, I am affiliated with the Center for AI Innovation in Medical Imaging (CAIIMI). Starting from August 2022, I am honored to serve our community as the Vice Chair of IEEE Computer Society at Pittsburgh. I have a deep passion for AI-Powered healthcare informatics and health data science with better patient diagnosis, prognosis, and treatment using large-scale multiple clinical data sources and advanced computational algorithms.

I earned my PhD in Computer Science from University of Wisconsin-Milwaukee and since then, I have been on a quest to explore and solve problems that are worth it and make the most positive impact on people’s lives. I have been successfully leveraging my background in descriptive and predictive machine learning modeling, text and image analysis, and big data analytics to find solutions to a diverse range of problems in healthcare informatics. I am indeed passionate about diverse biomedical data sources along with artificial intelligence methods and their applications in healthcare. My lifetime hobbies have been spending time with my bountiful family, reading, and running. I often publish under Ahmad P. Tafti and/or A. P. Tafti.

I am the 2021 SiiM Imaging Informatics Innovator awardee, Oracle for Research Project awardee, University of Pittsburgh CTSI awardee, Mayo Clinic Benefactor funded CDAs Orthopedics Career Development awardee, Mayo Clinic Transform the Practice awardee, an NVIDIA GPU awardee, and GE Healthcare Honorable Mention awardee. To date, I have authored 45+ peer-reviewed publications, organizing numerous workshops on intelligent health systems and I have served on the program committee of 15+ conferences, symposiums, and journals in AI and health data science. For more information about my research and interests, please visit Google Scholar.