Leader profile

Tyler Lum

Tyler Lum is a Computer Science PhD student at Stanford University studying artificial intelligence and robotics.

Current role

Role: PhD student
Company: Stanford University
Official link: https://tylerlum.github.io/

Recent viewpoints

Simulation-trained policy achieves zero-shot real-world tool manipulation

Tyler describes SimToolReal, a method that trains a single, goal-conditioned policy in simulation using reinforcement learning to perform dexterous tool manipulation (grasp, reorient, use) zero-shot on real-world tools without task-specific retraining, demonstrating strong recovery behaviors.

Tyler Lum Sim-to-real reinforcement learning for dexterous manipulation Source at 30:14

Recent interviews

Memory, SimToolReal, and World Action Models | YC Paper Club

Aug 8, 2026

Major topics

Design IterationLast interview Aug 15, 2026 TypographyLast interview Aug 15, 2026 InternationalizationLast interview Aug 15, 2026 Visual PrototypingLast interview Aug 15, 2026 Logo DesignLast interview Aug 15, 2026 Project PlanningLast interview Aug 15, 2026 Creative CollaborationLast interview Aug 15, 2026 Meaningful DesignLast interview Aug 15, 2026 Accessible ComputingLast interview Aug 15, 2026 Design ConstraintsLast interview Aug 15, 2026