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 at the University of Waterloo in 1978. In 2005, Professor Cheriton made a transformational gift to the school that supports named chairs, faculty fellowships, and graduate scholarships.

Discover our latest achievements by following our news. Upcoming talks on a range of computer science topics are found under 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.

News

A group of people at a table with laptops and drinks in a casual office space, while another person walks by.
Friday, September 5, 2025

Spurring growth at Faire

Waterloo co-op students are making strides in the business and technology sector with transformative innovations.  

As more consumers choose to shop local, Waterloo students and alumni at Faire — an online wholesale platform connecting independent retailers with unique brands — are co-developing tools that strengthen local economies and empower small businesses to thrive. 

Professor Shai Ben-David in front of a blackboard
Thursday, September 4, 2025

Shai Ben-David named 2025 Fellow of the Royal Society of Canada

Professor Shai Ben-David has been named a 2025 Fellow of the Royal Society of Canada, the highest national recognition for researchers in the arts, humanities, social sciences and sciences.

He is among 102 individuals across Canada elected this year for their exceptional scholarly, scientific and artistic achievements.

Someone using a laptop to watch a soccer match. The team is huddled near the net. You can see the viewer's hand view on the laptoo but not their face
Wednesday, September 3, 2025

Scoring high with AI

Two Cheriton alumni, David Radke and Kyle Tilbury, are using AI to make it easier for researchers to unlock sports insights— which were previously reserved for pro-teams. 

By leveraging the Google Research Football’s reinforcement learning environment, the duo created a system that can simulate and record unlimited soccer matches. They generated and saved data from 3,000 simulated soccer games, resulting in a rich and complex dataset of passes, goals, and player movements for researchers to study.

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Events