Currently Assistant Professor, Department of Computer Science, University of Toronto
Visiting Research Scientist at AI2 (Allen Institute for AI) in Seattle with Dieter Fox's robotics group during sabbatical year 2025–2026
Leads the RVL lab focusing on robot vision and learning
Research topics include imitation learning, reinforcement learning, planning under uncertainty, continual learning, active perception, shared autonomy, safe exploration, etc.
In lab automation: manipulation of liquids/powders, long-horizon planning, multi-robot coordination, optimal experiment design
In field robotics: visual attention, sensor data summarization, marine robotics
Background
Assistant Professor in the Department of Computer Science at the University of Toronto, Mississauga Campus (UTM)
Faculty member at the UofT Robotics Institute, Vector Institute, and Acceleration Consortium
Directs the Robot Vision and Learning (RVL) lab
Research focuses on robotics, spanning machine learning, perception, planning, and control
Develops methods enabling robots to perceive, reason, and act effectively and safely in dynamic environments, especially alongside humans
Aims to allow users to specify robot tasks without coding and provide safety guarantees during learning and deployment
Primary application areas: robotics for chemistry/biology lab automation and field robotics for environmental monitoring