Pedro Domingos

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Pedro Domingos
Alma materUniversity of California, Irvine (MS, PhD)
Instituto Superior Técnico - University of Lisbon (MS, Licentiate)
Known forThe Master Algorithm
AwardsSIGKDD Innovation Award (2014)
AAAI Fellowship (2010)
Sloan Fellowship (2003)
Fulbright Scholarship (1992-1997)
Scientific career
FieldsArtificial intelligence
Machine learning
Data science
InstitutionsUniversity of Washington
ThesisA Unified Approach to Concept Learning (1997)
Doctoral advisorDennis F. Kibler

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]


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 and followed by PhD.[4]

Research and career

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]


Awards and honors


  1. ^ "Emeritus Faculty". Paul G. Allen School of Computer Science & Engineering. Retrieved 12 December 2020.
  2. ^ Scheuermann, Christoph; Zand, Bernhard (16 April 2018). "Pedro Domingos on the Arms Race in Artificial Intelligence". Der Spiegel.
  3. ^ Domingos, Pedro; Pazzani, Michael (1997). "On the Optimality of the Simple Bayesian Classifier under Zero-One Loss". Machine Learning. 29 (2/3): 103–130. doi:10.1023/A:1007413511361. ISSN 0885-6125.
  4. ^ a b Domingos, Pedro. "Pedro Domingos". Retrieved 17 November 2018.
  5. ^ "Pedro Domingos | Computer Science & Engineering". Retrieved 2019-05-12.
  6. ^ "Pedro Domingos Will Lead New D.E. Shaw Machine Learning Group". 17 August 2018.
  7. ^ "Curriculum Vitae" (PDF). Pedro M. Domingos. Retrieved 12 December 2020.
  8. ^ Domingos, Pedro (2015). The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World. New York: Basic Books. ISBN 978-0-465-06570-7. OCLC 1039158596.
  9. ^ 2014 SIGKDD Innovation Award: Pedro Domingos
  10. ^ "Elected AAAI Fellows".