UofT Machine Intelligence Club (MIC) is a research-driven student student group that specializes in building and studying classical and quantum approaches to intelligence, including quantum and classical machine learning, hybrid classical–quantum algorithms, and developing open source libraries using what we’ve built. Members will work in small teams focused on specific problems and approaches to classical and quantum machine learning problems.
What members can expect:
- Weekly working sessions including research and development.
- Project tracks such as benchmarking quantum/quantum-inspired models vs strong classical baselines, with training and optimization diagnostics.
- Hands-on technical work with modern tooling, with an emphasis on reproducibility.
- Mentorship and collaboration across skill levels, with onboarding tasks and starter assignments in Google notebooks.
- Concrete outputs: open-source library modules, reproducible experiment reports, and research write-ups, with the goal of workshop or student-conference submissions when appropriate.
Target Audience
The club is open to all UofT students (undergraduate and graduate) with a strong interest in machine learning, the intersection of quantum computing and artificial intelligence. This includes students from Computer Science, Engineering, Physics, Mathematics, and related fields. A basic foundation in machine learning is helpful, but the club structure provides clear onboarding paths for motivated individuals new to the domain.
Why join MIC?
Join the UofT Machine Intelligence Club to move beyond theoretical learning and gain practical, hands-on experience in a rapidly evolving, cutting-edge field. Contribute to an open-source movement, build a portfolio of high-impact technical work, and network with peers who share a passion for building the future of intelligent systems.