Peter Szolovits is Professor of Computer Science and Engineering in the MIT Department of Electrical Engineering and Computer Science (EECS) and an Associate faculty member in the MIT Institute of Medical Engineering and Science (IMES) and its Harvard/MIT Health Sciences and Technology (HST) program.  He is also head of the Clinical Decision-Making Group within the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL). His research centers on the application of AI methods to problems of medical decision making, natural language processing to extract meaningful data from clinical narratives, and the design of information systems for health care institutions and patients. He has worked on problems of diagnosis, therapy planning, execution and monitoring for various medical conditions, computational aspects of genetic counseling, controlled sharing of health information, privacy and confidentiality issues in medical record systems, and integration of clinical and genomic data for translational medicine. His interests in AI include knowledge representation, qualitative reasoning, probabilistic inference, and machine learning. He teaches classes in artificial intelligence, programming languages, computer systems engineering, medical computing, medical decision making, knowledge-based systems and probabilistic inference.

Prof. Szolovits has served on journal editorial boards and as program chairman and on the program committees of national conferences. He has been a founder of and consultant for several companies that apply AI to problems of commercial interest. He received his bachelor's degree in physics and his PhD in information science, both from Caltech. Prof. Szolovits was elected to the National Academy of Medicine and is a Fellow of the American Association for Artificial Intelligence, the American College of Medical Informatics, the American Institute for Medical and Biological Engineering, and the International Academy of Health Sciences Informatics. He recently served as a member of the National Research Council's Computer Science and Telecommunications Board and of the National Library of Medicine’s Biomedical Library and Informatics Review Committee. He is the 2013 recipient of the Morris F. Collen Award of Excellence from the American College of Medical Informatics, which is part of the American Medical Informatics Association.