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Machine Learning Stanford University

Julian Vasquez

Stanford University / Machine Learning

Advisor: Dr. Chelsea Finn

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.

PUBLICATIONS

11

SKILLS

6

ADVISOR

Dr. Chelsea Finn

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

TRY IT

$ sci-buy search --career-stage phd --field "Machine Learning"

Searching PhD candidates in Machine Learning...
✓ Found: Julian Vasquez — Stanford University
Advisor: Dr. Chelsea Finn | Pubs: 11
Transition signals: 3 detected

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