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Brian and Janis

National Philanthropy Day is November 15 this year. In recognition of this day for generosity and giving, we recognize the support of alums like Brian and Janis Traquair, who went above and beyond to support students in their academic journey.

They helped young people who were worried about the cost of attending university through the Traquair scholarship, a charitable initiative they created.

Kelechi Ogueji

Researchers at the Cheriton School of Computer Science have developed a data-efficient pretrained transformed-based neural language model to analyze eleven African languages.

Their new neural network model, which they have dubbed AfriBERTa, is based on BERT — Bidirectional Encoder Representations from Transformers — a deep learning technique for natural language processing developed in 2018 by Google.

Cameron Seth on the squash court

As a graduate student in the Cheriton School of Computer Science, Cameron Seth studies graph theory algorithms and complexity theory.

As an athlete, he is among the top Canadian men’s squash players. He has been playing on the international professional tour since 2015, and during his undergrad, Seth was a mainstay on the University of Waterloo varsity team.

A company founded by two University of Waterloo graduates is on track to become a giant in the Canadian B2B credit card market.

Float, which was co-founded by Cheriton School of Computer Science alums Griffin Keglevich and Ruslan Nikolaev, recently brought in a whopping $37 million CAD in new investments.

The company’s third co-founder and current CEO, Rob Khazzam, who joined Float in March 2021, brings a wealth of experience in business and finance, having previously worked for Uber and various venture capital advisory firms.

Fatema Tuz Zohora

Researchers in the Cheriton School of Computer Science are incorporating a deep learning network into a more accurate method for identifying disease biomarkers.

The new method achieves up to 98 percent detection of peptide features in a dataset. That means scientists and medical practitioners have a greater chance of discovering possible diseases through tissue sample analysis.