Erich Liang
PHD Student at Princeton University
Greater Seattle Area United States
Summary
👤
Senior🎓
Top SchoolErich Liang is a PhD student at Princeton University with nine years of industry and research experience at the intersection of 3D computer vision and machine learning. He has held research roles at UC Berkeley and Caltech, and multiple applied scientist internships at Amazon, bringing both academic rigor and product-minded experimentation to large-scale problems. His work is advised by leading vision researchers (Jia Deng, Ren Ng) and reflects hands-on expertise from AR/VR prototypes to ML systems deployed in industry. Based in the Greater Seattle Area, he pairs a Caltech CS/Math double major background with a pragmatic engineering streak—aptly hinted by his GitHub quip “When in doubt, --force”—that favors decisive iteration and reproducible research.
9 years of coding experience
3 years of employment as a software developer
California Institute of Technology
Chinese, English
Github Skills (18)
imu8
calibration7
camera6
optical-flow6
depth-camera5
toolbox5
slack2
ocr1
windows1
python1
machine-learning1
uploading1
peer-to-peer1
deep-reinforcement-learning1
collaboration1
Programming languages (7)
Github contributions (5)
doinksta/homework_fall2021
Sep 2021 - Nov 2021
Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2021)
Contributions:87 pushes in 2 months
deep-reinforcement-learning
doinksta/nerfstudio
Dec 2022 - Feb 2023
A collaboration friendly studio for NeRFs
Contributions:12 commits, 13 pushes in 2 months
collaboration
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