Welcome to Math Innovation

Math Innovation uses mathematics and computer science to make things better. As part of the Faculty of Mathematics at the University of Waterloo, we’re connecting world-class researchers with industry partners, so research insights can have an immediate impact.

Math Innovation is the essential conduit between the world-changing research being done by Math faculty and students, and Waterloo's entrepreneurial and industrial partnership sphere.  It is an exciting new approach to Waterloo Math’s storied history of startups and entrepreneurial success and will be a nexus for the Waterloo academic and technological communities to collaborate and thrive.

Mark Giesbrecht, Dean of Mathematics.

As we enter the digital age and work to harness the potential of quantum computing, there is an increase in risk of new forms of cyber-attacks. To prepare for these attacks, The United States National Institute of Standards and Technology (NIST) called on cryptographers to create new algorithms to protect government and industry communications from attacks by quantum computing.

Technology is constantly evolving and as a direct result, the workforce is rapidly changing. To adapt to modern business expectations and realities, Esteban Veintimilla (BMath ‘18) founded 1Mentor to help students prepare for entry into their careers. 1Mentor is an AI-Powered platform that enables high levels of education and navigates students through the rapidly changing job market, and has recently received recognition as a top 100 tech company to watch for in 2022.

This past summer the Faculty of Mathematics was excited to welcome Stephanie Whitney as Director of Research and Innovation Partnerships. She will help raise research profiles, initiate and develop industry and government relationships and secure funding to support student entrepreneurship. Stephanie has a PhD in Social and Ecological Sustainability (2018), Masters in Environment and Business (2013) and a Bachelor of Applied Science degree in Environmental Engineering with an option in Management Science (2004). 

At the Cheriton School of Computer Science, researchers are using unsupervised machine learning to determine taxonomic relationships between organisms. 

Lila Kari, a professor of computer science, along with her PhD students Pablo Millán Arias and Fatemeh Alipour and her colleague Professor Kathleen Hill at Western University’s Department of Biology pioneered this new method, titled Deep Learning for Unsupervised Clustering of DNA Sequences, or DeLUCS for short.