# Julian Vasquez

> 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.

*Source: [https://selltoscientists.com/phd/julian-vasquez/](https://selltoscientists.com/phd/julian-vasquez/)*

**Institution:** Stanford University
**Field:** Machine Learning
**Advisor:** Dr. Chelsea Finn
**Thesis:** Sample-efficient reinforcement learning for robotic manipulation under distribution shift
**Publications:** 11

## Skills

- PyTorch
- Reinforcement Learning
- Robotics
- CUDA
- Distributed Training
- Sim-to-Real Transfer

## Industry transition signals

- Research internship at Google DeepMind
- Co-authored paper with NVIDIA researchers
- Open-sourced widely-starred RL library

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