Past Events

Meet and mingle with fellow University of Guelph Chemistry alumni, faculty, and friends at this social and networking event in conjunction with the 2026 Canadian Societies for Chemistry and Chemical Engineering Conference. 

3MT® is a university-wide competition for graduate students to present their research and its wider impact in 3 minutes or less to a panel of non-specialist judges. The challenge is to present complex research in an engaging, accessible and compelling way, using only one slide.

Learn more: March Open House March 29, 10 a.m. - 4 p.m. 

Prospective students interested in CCMPS cybersecurity and data science-related course-based master's programs are invited to attend our upcoming Webinar on Monday, March 16, including:

In this virtual book launch event, author and sustainability leader Supriya Verma explores why women’s leadership — particularly across engineering, science, business, and sustainability — is not optional, but strategically essential for shaping resilient systems and futures. Everyone is welcome to attend!

Learn more: International Day of Women and Girls in Science February 11, all day.

Learn more: IUPAC Global Women's Day Breakfast February 10, 8:30-10 a.m.

Discover our academic specializations in Mathematics, Chemistry and Physics related majors. Learn about unique courses, research opportunities at the undergraduate level and supportive resources for co-op and careers that will enrich your degree. Hear currently enrolled students share their experiences and have your questions answered by our expert admission team. Your journey to Improve Life starts here! Register now.

Discover our Computer Science and Software Engineering majors within the Bachelor of Computing degree program. Learn about unique courses, new areas of emphasis in topics such as cybersecurity and AI as well as supportive resources for co-op and career opportunities that will enrich your degree. Hear currently enrolled students share their experiences and have your questions answered by our expert admission team. Your journey to Improve Life starts here! Register now.

Works on interpretability tend to focus on the limitations of complex blackbox models. It is tempting to assume that simple models can achieve what black-box models cannot. This paper cautions against this temptation.