BIG Faculty Member - Peter Szolovits, Ph.D.

Peter Szolovits, Ph.D.

Professor of Computer Science and Engineering, MIT Department of Electrical Engineering and Computer Science (EECS)
Associate faculty member in the MIT Institute of Medical Engineering and Science (IMES) and the Harvard/MIT Health Sciences and Technology (HST) program
Head of the Clinical Decision-Making Group, MIT

Massachusetts Institute of Technology
The Stata Center, 32-254
32 Vassar Street
Cambridge, MA 02139
Tel: 617-253-3476
Fax: 617-258-8682
Visit my lab page here and here.

Peter Szolovits is Professor of Computer Science and Engineering and head of the Clinical Decision-Making Group within CSAIL. His research centers on the application of AI methods to problems of medical decision making and 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, and privacy and confidentiality issues in medical record systems.

Peter Szolovits' interests in AI include knowledge representation, qualitative reasoning, and probabilistic inference. His interests in medical computing include Web-based heterogeneous medical record systems, life-long personal health information systems, and design of cryptographic schemes for health identifiers. He teaches classes in artificial intelligence, programming languages, medical computing, medical decision making, knowledge-based systems and probabilistic inference.

Prof. Szolovits is on the editorial board of several journals, has served as program chairman and on the program committees of national conferences, and has been a founder of and consultant for several companies that apply AI to problems of commercial interest. Prof. Szolovits was elected to the Institute of Medicine of the National Academies and is a Fellow of the American Association for Artificial Intelligence, the American College of Medical Informatics and the American Institute for Medical and Biological Engineering.

Last Update: 11/27/2017


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