Will Liang
Graduate Researcher
Berkeley, California, United States
Summary
👤
Senior🎓
Top SchoolWill Liang is a PhD student and graduate researcher at UC Berkeley specializing in robot learning, generative models, and multimodal representations for embodied agents. With eight years of experience spanning university labs and industry internships at NVIDIA, Hudson River Trading, and Anduril, he blends rigorous research with systems-oriented engineering. At Berkeley's BAIR and previously at UPenn's GRASP lab, he focuses on agents that learn from human priors and unstructured, self-directed experience, and at NVIDIA he contributes to foundational world models for robotics. His background in optimizing ML training and time-series ingestion gives him a practical edge in turning learned representations into deployable systems. Based in Berkeley, he pairs deep academic training in EECS with hands-on production experience across research and high-throughput engineering environments.
8 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Electrical Engineering and Computer Science (EECS), Doctor of Philosophy - PhD, Electrical Engineering and Computer Science (EECS) at University of California, BerkeleyBachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at University of Pennsylvania
Github Skills (25)
seek9
spring8
spring-boot8
geometry7
stereo7
computer-vision6
structure-from-motion6
object-detection5
intrinsics5
jekyll4
homography4
publish3
mdx3
bullet3
nextjs3
Programming languages (7)
Github contributions (5)
willjhliang/depth-prediction
May 2020 - Dec 2022
Contributions:72 commits, 3 pushes in 2 years 7 months
willjhliang/personal-site
Dec 2021 - Sep 2023
My personal site.
Contributions:2 reviews, 4 PRs, 36 pushes in 1 year 9 months
reactnextjs
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