CoRL MRM-D Workshop 2024: 'Versatile and Generalizable Manipulation via Goal-Conditioned Reinforcement Learning with Grounded Object Detection'
AAMAS Doctoral Consortium 2024: 'Autonomous Skill Acquisition for Robots Using Graduated Learning' (first author)
AAMAS 2024: 'MaDi: Learning to Mask Distractions for Generalization in Visual Deep Reinforcement Learning'
ICML 2023: 'Correcting Discount-Factor Mismatch in On-Policy Policy Gradient Methods'
Recipient of the Outstanding Thesis Award in Computing Science at the University of Alberta
Research Experience
Deployed deep reinforcement learning to a fleet of warehouse robots at Kindred AI used by Gap Inc., developing the RLScan system for apparel barcode scanning
Interned at Sanctuary AI working on imitation-bootstrapped reinforcement learning
Interned at the University of Freiburg on imitation-guided RL projects
Contributed to computational frameworks for real-time robot learning, including SenseAct and ReLoD
Developed streaming RL algorithms: Action Value Gradient (AVG) and Stream-X