
Professor Emeritus of computer science and engineering at the University of Washington
A machine learning researcher known for Markov logic networks and the book The Master Algorithm.
Pedro Domingos is Professor Emeritus of computer science and engineering at the University of Washington. He studied at Instituto Superior Técnico in Portugal, then earned a master's degree and PhD at the University of California, Irvine. After two years as an assistant professor at IST he joined the University of Washington in 1999 and became a full professor in 2012.
He is a machine learning researcher known for Markov logic networks, which enable uncertain inference. He wrote The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World (2015) and co-founded the International Machine Learning Society. He received the ACM SIGKDD Innovation Award in 2014 and became an AAAI Fellow in 2010.
Known for Markov logic networks, a framework that unifies first-order logic and probability to enable uncertain inference.
Wrote The Master Algorithm, a book on the quest for a single learning machine and how it will reshape the world.
Won the 2014 award for foundational research in data stream analysis, cost-sensitive classification, adversarial learning and Markov logic networks.