Diagnosing Component-Level Failures in Computer-Use Agents
COLM 2026 (In review)Tianchen Guan, Daisy Xinlei Lin, Xiangjun Wang, Shuyan Zhou
AI Researcher @ Amazon AGI SF Lab
I build AI agents that act like humans do, because the only thing more fun than being human is trying to recreate parts of it in silicon. I earned my PhD at NYU, where I studied planning and reinforcement learning: how minds and machines decide what to do next when the world is messy, uncertain, and adversarial. These days I work on LLM post-training, reasoning, and agents — systems that don't just talk, but act.
Major contributor to Nova Act — an AWS service that automates UI workflows. I lead the end-to-end RL model training recipe in synthetic web environments.
Tianchen Guan, Daisy Xinlei Lin, Xiangjun Wang, Shuyan Zhou
Daisy Xinlei Lin, Brenden Lake, Wei Ji Ma
Paper →Zheyang Sam Zheng*, Xinlei Daisy Lin*, Jake Topping*, Wei Ji Ma
Paper →Jordan Lei, Jeroen Olieslagers, Nastaran Arfaei, Xinlei Lin, Wei Ji Ma
Paper →Enida Gjoni, Ram Dyuthi Sristi, Haixin Liu, Shahar Dror, Xinlei Lin, Keelin O'Neil, Oscar M. Arroyo, Sun Woo Hong, Hannah Kim, Jeffrey Liu, Sonja Blumenstock, Byungkook Lim, Gal Mishne, Takaki Komiyama
Paper →When I'm not teaching models what to do, I'm usually snowboarding, hiking, baking desserts, or being supervised by cats who believe they are my bosses.
I moved from NYC to SF to join the RL research team at AGI SF Lab.