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Professor of computer science From Wikipedia, the free encyclopedia
Pedro Domingos (born 1965) is a Professor Emeritus[2] 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.[3][4]
Pedro Domingos | |
|---|---|
Domingos in 2023 | |
| Born | 1965 (age 59–60)[1] |
| Alma mater | University of California, Irvine (MS, PhD) Instituto Superior Técnico - University of Lisbon (MS, Licentiate) |
| Known for | The Master Algorithm Markov logic network |
| 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 |
| Doctoral students | Tessa Lau |
| Website | homes |
Domingos received an undergraduate degree and Master of Science degree from Instituto Superior Técnico (IST).[5] He moved to the University of California, Irvine, where he received a Master of Science degree followed by his PhD.[5]
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.[6] He started a machine learning research group at the hedge fund D. E. Shaw & Co. in 2018,[7] but left in 2019.[8]
He co-founded the International Machine Learning Society. As of 2018, he was on the editorial board of Machine Learning journal.[9]
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