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Pedro Domingos

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Pedro Domingos
Domingos in 2023
Born1965 (age 58–59)[1]
Lisbon, Portugal[1]
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
Doctoral studentsTessa Lau
Websitehomes.cs.washington.edu/~pedrod/

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]

Education[edit]

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]

Research and career[edit]

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]

Publications[edit]

  • Pedro Domingos, The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World, New York, Basic Books, 2015, ISBN 978-0-465-06570-7.
  • Pedro Domingos, "Our Digital Doubles: AI will serve our species, not control it", Scientific American, vol. 319, no. 3 (September 2018), pp. 88–93. "AIs are like autistic savants and will remain so for the foreseeable future.... AIs lack common sense and can easily make errors that a human never would... They are also liable to take our instructions too literally, giving us precisely what we asked for instead of what we actually wanted." (p. 93.)

Awards and honors[edit]

References[edit]

  1. ^ Jump up to: a b Miguel Ángel García Vega (1 October 2016). ""Hay algoritmos que no controlamos tomando decisiones"" [There are algorithms that we do not control making decisions]. El País (in Spanish). Archived from the original on 5 July 2022.
  2. ^ "Emeritus Faculty". Paul G. Allen School of Computer Science & Engineering. Retrieved 12 December 2020.
  3. ^ Scheuermann, Christoph; Zand, Bernhard (16 April 2018). "Pedro Domingos on the Arms Race in Artificial Intelligence". Der Spiegel.
  4. ^ 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.
  5. ^ Jump up to: a b Domingos, Pedro. "Pedro Domingos". Retrieved 17 November 2018.
  6. ^ "Pedro Domingos | Computer Science & Engineering". www.cs.washington.edu. Retrieved 2019-05-12.
  7. ^ Wigglesworth, Robin (16 August 2018). "DE Shaw taps academic to set up new machine learning group". Financial Times.
  8. ^ "Curriculum Vitae" (PDF). Pedro M. Domingos. Retrieved 12 December 2020.
  9. ^ Cantrell, Amanda (August 16, 2018). "D.E. Shaw Launches Machine Learning Unit". Institutional Investor.
  10. ^ 2014 SIGKDD Innovation Award: Pedro Domingos
  11. ^ "Elected AAAI Fellows". aaai.org.
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