Kate Larson (computer scientist)

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Kate Larson
Academic background
EducationMemorial University of Newfoundland (BS)
Washington University in St. Louis (MS)
Carnegie Mellon University (PhD)
Academic work
DisciplineComputer science
Sub-disciplineAlgorithmic mechanism design
Multi-agent systems
Cooperative game theory
InstitutionsUniversity of Waterloo

Kate S. Larson is a Canadian computer scientist working as a professor, Pasupalak AI Fellow, and University Research Chair in the Cheriton School of Computer Science of the University of Waterloo.

Education[edit]

Larson majored in mathematics at the Memorial University of Newfoundland, where she graduated with a Bachelor of Science degree in mathematics 1997. After earning a master's degree in computer science at Washington University in St. Louis in 1999, she completed a Ph.D. in computer science in 2004 at Carnegie Mellon University.[1][2] Her dissertation, Mechanism Design for Computationally Limited Agents, was supervised by Tuomas Sandholm.[3]

Career[edit]

Larson returned to Canada as an assistant professor of computer science at the University of Waterloo in 2004. There, she was promoted to associate professor in 2009 and full professor in 2017, named as Pasupalak AI Fellow in 2018, and given a University Research Chair in 2019.[1] Larson's research concerns algorithmic mechanism design, cooperative game theory, and the formation of coalitions in multi-agent systems.[4][5]

Recognition[edit]

In 2015 the Canadian Association of Computer Science named her as an outstanding young researcher.[6]

References[edit]

  1. ^ a b Curriculum vitae (PDF), retrieved 2022-09-02
  2. ^ "Kate Larson". Math Innovation. Retrieved 2022-09-16.
  3. ^ Kate Larson at the Mathematics Genealogy Project
  4. ^ Faratin, Peyman; Rodríguez-Aguilar, Juan A. (14 February 2006). Agent-Mediated Electronic Commerce VI: Theories for and Engineering of Distributed Mechanisms and Systems, AAMAS 2004 Workshop, Amec 2004, New York, NY, USA, July 19, 2004, Revised Selected Papers. Springer. ISBN 978-3-540-33166-7.
  5. ^ Fotakis, Dimitris; Markakis, Evangelos (16 September 2019). Algorithmic Game Theory: 12th International Symposium, SAGT 2019, Athens, Greece, September 30 – October 3, 2019, Proceedings. Springer Nature. ISBN 978-3-030-30473-7.
  6. ^ Outstanding Young Computer Science Researcher Awards 2015, Canadian Association of Computer Science / Association d'Informatique Canadienne, retrieved 2022-09-02

External links[edit]