Wenlong Huang
Graduate Student Researcher
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolWenlong Huang is a PhD candidate at Stanford and a Graduate Student Researcher at SAIL, focusing on robotics, foundation models, and machine learning. He has collaborated with top labs and industry, including Google Brain Robotics and NVIDIA, bringing practical insights from internship projects on foundation models for robotics. His research intersects core ML with embodied AI, exploring how large-scale models can improve perception, control, and decision-making in robotic systems. Prior to Stanford, he earned a bachelor's degree in Computer Science from UC Berkeley and contributed to robotics and RL research at Berkeley AI Research. He also trained and researched under leaders such as Fei-Fei Li, Pieter Abbeel, and Deepak Pathak, reflecting a strong mentorship lineage. Based in the Bay Area, he combines academic rigor with hands-on industry experience to accelerate robotics-enabled AI systems.
9 years of coding experience
5 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at University of California, BerkeleyUniversity of California, San DiegoHigh School Diploma, High School Diploma at La Jolla Country Day SchoolDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Stanford University
English, Chinese
Github Skills (37)
generalization10
modularity9
message-passing9
motion-planning9
foundation-models8
python8
deep-learning8
reinforcement-learning8
gpu8
machine-learning8
policies8
robotics8
modular7
keras7
agent7
Programming languages (2)
Github contributions (5)
huangwl18/huangwl18.github.io
Jun 2020 - Sep 2024
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Contributions:33 pushes, 2 branches in 4 years 3 months
templategithub-pages-templatemmistakesmistakesjekyll
huangwl18/geometry-dex
Nov 2021 - Feb 2022
Contributions:10 commits, 4 pushes, 2 comments in 3 months
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