Pedro Domingos is a Professor Emeritus[1] of computer science and engineering at the University of Washington. He is a researcher in machine learning known for Markov logic network enabling uncertain inference.[2][3]
Pedro Domingos | |
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Alma mater | University of California, Irvine (MS, PhD) Instituto Superior Técnico - University of Lisbon (MS, Licentiate) |
Known for | The Master Algorithm |
Awards | SIGKDD Innovation Award (2014) AAAI Fellowship (2010) Sloan Fellowship (2003) Fulbright Scholarship (1992-1997) |
Scientific career | |
Fields | Artificial intelligence Machine learning Data science |
Institutions | University of Washington |
Thesis | A Unified Approach to Concept Learning (1997) |
Doctoral advisor | Dennis F. Kibler |
Website | homes |
Domingos received an undergraduate degree and Master of Science degree from Instituto Superior Técnico (IST).[4] He moved to the University of California, Irvine, where he received a Master of Science degree followed by his PhD.[4]
After spending two years as an assistant professor at IST, he joined the University of Washington as an Assistant Professor of Computer Science and Engineering in 1999 and became a full professor in 2012.[5] He started a machine learning research group at the hedge fund D. E. Shaw & Co. in 2018,[6] but left in 2019.[7]
He co-founded the International Machine Learning Society. As of 2018, he was on the editorial board of Machine Learning journal.[8]