Control, robotics, and AI
Helping students connect models to motion, feedback to behavior, and learning algorithms to decisions that can be inspected.
Teaching
I have supported courses across robotics, control, reinforcement learning, design, leadership, and entrepreneurship. The part I like most is helping students turn a vague idea into a question they can test, break, repair, and defend.
Home base Faculty of Applied Science and Engineering, University of Toronto.
Teaching flavor Practical, systems-minded, and allergic to equations that never meet a prototype.
Courses where I have helped students reason through algorithms, robots, design tradeoffs, leadership, and the machinery of turning ideas into ventures.
Helping students connect models to motion, feedback to behavior, and learning algorithms to decisions that can be inspected.
Supporting the messy middle where technical possibility, user need, funding, and execution all have to share the same table.