PhD student at University of British Columbia · Affiliated with Vector Institute · Research in AI Agents, LLMs, and RL
ClawBench: Can AI Agents Complete Everyday Online Tasks?
V1: 153 tasks · V2: 130 tasks · 144 live websites · 15 categories
VidGround: Watch Before You Answer
Visually grounded post-training for video LLMs.
Dr. Claw: Your AI Research Assistant
A full-stack research workspace for taking projects from idea to paper.
OpenSkill: Open-World Self-Evolution for LLM Agents
Builds both skills and verification signals from scratch, without target-task supervision.
RewardHarness: Self-Evolving Agentic Post-Training
A self-evolving agentic reward framework for image-editing evaluation.
Project Page · Paper · HF Paper · Releases
- 2026.04: New paper: ClawBench: Can AI Agents Complete Everyday Online Tasks?; 153 real-world tasks, 144 live websites, 7 frontier models. Best model: 33.3%.
- 2026.04: New paper: VidGround: Watch Before You Answer; visually grounded post-training for video LLMs.




