Ilya Musabirov
Assistant Professor of Teaching, MDS Vancouver
"MDS goes beyond teaching up-to-date, real-world data science skills. The program fosters a model thinking-centered problem solving mindset that empowers students to successfully put data science at the service of their areas of interest."
Ilya combines interests and research in human-centered data science, cloud computing and analytics engineering, as well as in education and various aspects of team collaboration and communication. His doctoral work at U of T focused on building ML-enabled cloud platforms that make educational and behavioural interventions adaptive, and on developing tools for data-driven decision-making that rely on computational interaction methods -- Bayesian models, multi-armed bandits, data visualization, and optimization. Before coming to Toronto, he spent eight years designing data science and computer science courses, with a particular focus on supporting students from non-STEM backgrounds. More broadly, he is interested in how we teach computer and data science, and how we can design effective human and human-AI partnerships in education and data science.