Youth Conference
IOAI Canada opens the inaugural Canada AI Youth Conference to all Grade 9 to 12 students from across the country, who are eager to explore the world of artificial intelligence. This conference offers a unique opportunity for students to dive into AI with hands-on experiential learning. Students will attend workshops and compete, individually or in a team up to 4 members, in AI-driven practical and scientific challenges modeled after the International Olympiad in AI. Gift certificates and awards will be given out to the top teams.
Saturday, ​May 17, 2025
In-person @ Toronto French School (TFS) Senior School
318 Lawrence Ave. East, Toronto, ON
9:30 am - 5:30 pm
Join us to network with like-minded peers, test your knowledge and skills, and take part in shaping the future of AI technology!
Agenda
Guest Speakers
Dr. Colin Hong has nearly 40 years of medical practice experience in Canada, with notable leadership roles as the past President of the Ontario Medical Association’s Plastic Surgery section and former Chief of Plastic Surgery at Rouge Valley Health System. Dr. Hong is also the co-founder and Chief Medical Officer of Skinopathy, a start-up that develops AI-driven solutions for pre-screening skin cancers, garnering global support from the medical community, private sector, and government agencies.
Dr. Haipeng Xie is an adjunct Professor in the Department of Mechanical & Industrial Engineering at the University of Toronto. Over the past 27 years, Dr. Xie has joined the development of Canadian Space Robotics Arms, pioneered humanoid robot companion development, led unmanned mobile robot technology development, joined forces with the University of Toronto, Western University, and Canadian Surgical Technologies and Advanced Robotics Center (CSTAR) on medical and clinical intelligent robot development.
Keynote Speakers
Andrew Magnusson is a current Engineering Science student at the University of Toronto, Co-President of University of Toronto Machine Intelligence Student Team (UTMIST), and Lead Machine Learning Engineer at AI Warehouse. As a TFS alumnus, Andrew has actively pursued his passion for artificial intelligence through academic research, technical projects, and leadership in both student and industry settings.
At the conference, Andrew will be presenting his journey from high school to university, offering insight into exploring passions, breaking into AI, and finding direction after graduation. His talk will cover topics such as leading an AI-focused club, contributing to real-world machine learning projects, navigating new workspaces, and identifying industry and graduate studies opportunities.
Keith Loo is the Chief Executive Officer for Skinopathy. Keith has over 20 years of start-up and tech business experience and is an Entrepreneurship Instructor at the Schulich School of Business, York University. Keith is an advisor, mentor and coach to many Data & AI start-ups and scale-ups and has led some of the world’s largest banks, retailers, adn telcos to build their Data & AI strategies and Innovation Labs.
Amjad Hassoun is a recent Computer Science graduate from the University of Toronto with a strong interest in artificial intelligence and education. Amjad continues to lead AI initiatives including a trash detection project, and collaborates with TFS to introduce AI tools and explore their ethical implications. As a former reinforcement learning researcher at Outlier and creator of Q-Tools, an Ai-powered Chrome extension for U of T students, Amjad blends technical skill with social impact.
At the conference, Amjad will discuss his journey through applied AI, the role of ethics in education, and how students can meaningfully contribute to the future of AI.
Workshop & Activity
Intro to Machine Learning
In this beginner-friendly workshop, students will explore the basics of machine learning through hands-on activities with decision trees, a powerful and easy-to-understand algorithm used for classification tasks. Students will learn how decision trees work, build simple models using real-world data, and gain insight into how machines make decisions.
Creativity Using Generative AI
Students will have the opportunity to demonstrate their creativity through a variety of hands-on, interactive activities. Students will use the first and last image of a series to produce a short video, generate a comic strip with a compelling storyline, and design a 3D model based on either their own creation or an image found online. Every student’s work will be showcased in a friendly competition.
Google Classroom
Join the Google Classroom to access the Scientific Round materials for Saturday, and get any extra updates about the conference here.
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Class code: 5xlffdmt