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.
 
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  1. Jan. 26, 2023Cheriton School of Computer Science data systems researchers receive 2022 ACM SIGMOD Research Highlight Award
    photo of Ken Salem, Mushi Wang and Semih Salihoglu

    Cheriton students Jeremy Chen, Yuqing Huang and Mushi Wang and Professors Semih Salihoğlu and Ken Salem have received a 2022 ACM SIGMOD Research Highlight Award for their paper “Accurate summary-based cardinality estimation through the lens of cardinality estimation graphs.” No stranger to scholarly recognition, this research earlier received the Best Experiment, Analysis and Benchmark Award at VLDB 2022, the 48th International Conference on Very Large Databases, where it was presented originally.

  2. Jan. 20, 2023CS alum and start-up founder Ian MacKinnon giving inaugural talk at Math Innovation Office’s Entrepreneurship and Impact Series
    image depicting the Entrepreneurship and Impact Series

    Computer Science alumnus and start-up founder Ian MacKinnon is visiting campus for an “Ask Me Anything” session on Monday, January 23, 2023 at 4:30 p.m., kicking off the first in a new Entrepreneurship and Impact Series from the Math Innovation Office.

  3. Jan. 18, 2023Jimmy Lin named a 2022 ACM Fellow
    photo of Professor Jimmy Lin in Hawaii

    Professor Jimmy Lin has been named a 2022 ACM Fellow for his contributions to question answering, information retrieval, and natural language processing.

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  1. Feb. 7, 2023Seminar • Artificial Intelligence • Reading to Learn: Improving Generalization by Learning From Language

    Please note: This seminar will take place in DC 1304 and virtually over Zoom.

    Victor Zhong, PhD candidate
    Natural Language Processing Group, University of Washington

    Traditional machine learning systems are trained on vast quantities of annotated data or experience. These systems often do not generalize to new, related problems that emerge after training, such as conversing about new topics or interacting with new environments.

  2. Feb. 9, 2023Seminar • Software Engineering • From Barriers to Bridges: Designing Processes and Tools for Inclusive Open-Source Communities

    Please note: This seminar will take place in DC 1304 and virtually over Zoom.

    Mariam Guizani, PhD candidate
    Department of Electrical Engineering and Computer Science, Oregon State University

    Diversity and Inclusion in Open-Source Software (OSS) has a significant impact on the OSS ecosystem and society. The low state of diversity and inclusion in OSS (e.g., women participation ranging from 1.5% to 11%) has unfortunate effects on OSS projects, individual contributors, and society.

  3. Feb. 14, 2023PhD Seminar • Artificial Intelligence • Heuristic Knowledge Transfer for General Game Playing

    Please note: This PhD seminar will take place in DC 2584 and virtually over Zoom.

    Joshua Jung, PhD candidate
    David R. Cheriton School of Computer Science

    Supervisor: Professor Jesse Hoey

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