Pedro Domingos
Pedro Domingos | |
|---|---|
 Domingos in 2023 | |
| Born | 1965 (age 58–59)[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 |
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.)
- Pedro Domingos, 2040: A Silicon Valley Satire, BookBaby, 2024, ISBN 979-8-350-96334-2.
Awards and honors
[edit]- 2014: ACM SIGKDD Innovation Award.[10] for his foundational research in data stream analysis, cost-sensitive classification, adversarial learning, and Markov logic networks, as well as applications in viral marketing and information integration.
- 2010: Elected an Association for the Advancement of Artificial Intelligence (AAAI) Fellow.[11] For significant contributions to the field of machine learning and to the unification of first-order logic and probability.
- 2003: Sloan Fellowship
- 1992–1997: Fulbright Scholarship
References
[edit]- ^ 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.
- ^ "Emeritus Faculty". Paul G. Allen School of Computer Science & Engineering. Retrieved 12 December 2020.
- ^ Scheuermann, Christoph; Zand, Bernhard (16 April 2018). "Pedro Domingos on the Arms Race in Artificial Intelligence". Der Spiegel.
- ^ 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.
- ^ a b Domingos, Pedro. "Pedro Domingos". Retrieved 17 November 2018.
- ^ "Pedro Domingos | Computer Science & Engineering". www.cs.washington.edu. Retrieved 2019-05-12.
- ^ Wigglesworth, Robin (16 August 2018). "DE Shaw taps academic to set up new machine learning group". Financial Times.
- ^ "Curriculum Vitae" (PDF). Pedro M. Domingos. Retrieved 12 December 2020.
- ^ Cantrell, Amanda (August 16, 2018). "D.E. Shaw Launches Machine Learning Unit". Institutional Investor.
- ^ 2014 SIGKDD Innovation Award: Pedro Domingos
- ^ "Elected AAAI Fellows". aaai.org.
- University of Washington faculty
- University of California, Irvine alumni
- Instituto Superior Técnico alumni
- Technical University of Lisbon alumni
- Sloan Research Fellows
- Artificial intelligence researchers
- Computer scientists
- Machine learning researchers
- D. E. Shaw & Co. people
- Living people
- Fellows of the Association for the Advancement of Artificial Intelligence
- 1965 births