Welcome to the David R. Cheriton School of Computer Science

The Cheriton School of Computer Science is named for David R. Cheriton, who earned his PhD in Computer Science in 1978, and made a transformational gift to the school in 2005. It has become the largest academic concentration of Computer Science researchers in Canada.  

Discover our latest achievements by following our news and events.
 
Please go to contact, open positions or visit if you have a question about school programs or services, would like to know more about faculty positions available or plan to visit our school.
  1. Feb. 18, 2019Professor Florian Kerschbaum speaks about cybersecurity, privacy and ethics in the age of machine learning and AI at World Affairs Conferencephoto of Professor Florian Kerschbaum

    Cheriton School of Computer Science Professor Florian Kerschbaum spoke about cybersecurity, privacy and ethics in the age of machine learning and artificial intelligence to high school students at the 2019 World Affairs Conference, held this year on February 4 to 5, 2019 in Toronto.

  2. Feb. 15, 2019University Professor M. Tamer Özsu receives 2018 Lifetime Achievement Award in Computer Sciencephoto of University Professor M. Tamer Özsu

    University Professor M. Tamer Özsu has received the 2018 Lifetime Achievement Award in Computer Science from CS-Can/Info-Can. Conferred annually since 2014, these prestigious national awards recognize faculty members in departments, schools and faculties of computer science who have made outstanding and sustained achievement in research, teaching and service. 

  3. Feb. 13, 2019Hemant Surale receives prestigious 2019 Snap Research FellowshipHemant Surale in lab

    PhD candidate Hemant Surale is one of 11 recipients globally and the only candidate from Canada to receive a prestigious 2019 Snap Research Fellowship. These fellowships were established to foster collaboration between Snap Research and exceptional doctoral students across the world.

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  1. Feb. 25, 2019Seminar • Artificial Intelligence — Interactive Learning and Decision Making with Machines and People

    Yuxin Chen, Postdoctoral scholar, Department of Computing and Mathematical Sciences
    California Institute of Technology

    How can we intelligently acquire information for decision making, when facing a large volume of data? 

  2. Feb. 25, 2019Seminar • AI Institute — AI and ML at Thomson Reuters

    Khalid Al-Kofahi, Head, Corporate R&D, Center for AI and Cognitive Computing
    Thomson Reuters

  3. Feb. 27, 2019PhD Seminar • Data Systems — DimmStore: Tackling Memory Power Footprint of Database Systems

    Alexey Karyakin, PhD candidate
    David R. Cheriton School of Computer Science

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