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. Jan. 24, 2020Amine Mhedhbi awarded coveted 2020 Microsoft Research PhD Fellowship
    photo of Amine Mhedhbi in the Davis Centre

    PhD candidate Amine Mhedhbi is one of 10 recipients across North America and the only recipient from Canada to receive a 2020 Microsoft Research PhD Fellowship.

  2. Jan. 8, 2020Steven Feng and Shannon Veitch selected for honorable mention in CRA’s 2020 Outstanding Undergraduate Researcher Awards
    photo of Shannon Veitch and Steven Feng

    Undergraduate students Steven Feng and Shannon Veitch have each received a prestigious honorable mention for their research from the Computing Research Association. The annual CRA awards program recognizes undergraduate students from universities across North America who show outstanding research potential in an area of computing science.

  3. Jan. 3, 2020Master’s student Alex Parmentier develops novel method to detect anti-social behaviour online
    photo of Alex Parmentier

    Researchers in artificial intelligence have developed an innovative way to identify a range of anti-social behaviour online. The new technique, led by Alex Parmentier, a master’s student at Waterloo’s David R. Cheriton School of Computer Science, detects anti-social behaviour by examining the reaction to a post among members of an online forum rather than examining features of the original post itself.

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  1. Jan. 27, 2020Seminar • Artificial Intelligence | Data Systems — Cold-Start Universal Information Extraction

    Lifu Huang, Department of Computer Science
    University of Illinois at Urbana–Champaign

  2. Jan. 27, 2020PhD Seminar • Scientific Computation | Financial Modelling — Option Data Augmentation Using SABR model and LVF

    Ke Nian, PhD candidate
    David R. Cheriton School of Computer Science

  3. Jan. 30, 2020Seminar • Data Systems | Artificial Intelligence — Scalable Machine Learning for Information Creation and Sharing

    L. Li

    Artificial Intelligence and machine learning have been transforming the way people create, access, share, and consume information and identify misinformation. Yet tremendous challenges remain about the effective creation of high-quality and useful content and ensuring universal access to fair and authentic information. 

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