PhD & Postdoc
Julian Vasquez
Machine Learning · Stanford University
Julian builds reinforcement learning systems that transfer from simulation to physical robots with minimal real-world data. His internships at top industry labs and a popular open-source release signal a candidate ready to ship production ML.
11 Publications
6 Skills
Dr. Chelsea Finn Advisor
Thesis Topic
Sample-efficient reinforcement learning for robotic manipulation under distribution shift
Skills
PyTorch Reinforcement Learning Robotics CUDA Distributed Training Sim-to-Real Transfer
Transition Signals
Research internship at Google DeepMind
Co-authored paper with NVIDIA researchers
Open-sourced widely-starred RL library
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