Hang Zhao
Chief Technology Officer at Galaxea
United States
Summary
🤩
Rockstar🎓
Top SchoolHang Zhao is a CTO and academic leader with a PhD from MIT and a decade of research experience in computer vision, machine learning, and autonomous driving. He co-founded Galaxea to build embodied foundation models while directing the MARS Lab at Tsinghua University, bridging cutting-edge research and product-focused engineering. Previously a research scientist at Waymo and contributor to MIT CSAIL projects, his work on cross-modal learning and self-driving systems earned media coverage and honors including Forbes China 30 Under 30 and a Snap Research Fellowship. He is an active open-source contributor with practical PyTorch implementations for semantic segmentation on the ADE20K benchmark, demonstrating end-to-end competence from dataset pipelines to evaluation metrics. Comfortable moving between academia and industry, he routinely translates self-supervised and multimodal research into scalable systems for autonomy. An unconventional thread through his career is early entrepreneurship and teaching experience (e.g., Duckietown and TVision Insights), highlighting a long-standing interest in education and productization.
10 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD Computer Vision Artificial Intelligence, Doctor of Philosophy - PhD Computer Vision Artificial Intelligence at Massachusetts Institute of TechnologyHangzhou Foreign Language SchoolBachelor of Engineering with Honors Information Engineering (Optics), Bachelor of Engineering with Honors Information Engineering (Optics) at Zhejiang University
English, Chinese, Spanish
Github Skills (7)
semantic-segmentation10
computer-vision10
machine-learning10
pytorch10
data-pipelines10
data-pipeline10
python9
Programming languages (6)
Github contributions (5)
CSAILVision/semantic-segmentation-pytorch
Oct 2017 - Oct 2020
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
Role in this project:
Back-end Developer & ML Engineer
Back-end Developer & ML EngineerContributions:251 commits, 58 PRs, 198 pushes in 3 years 1 month
Contributions summary:Hang's commits indicate contributions focused on setting up the data pipeline, implementing model training, and evaluation scripts for a semantic segmentation project. They downloaded the ADE20K dataset, created training and evaluation scripts, and added a testing script. The contributions demonstrate an understanding of PyTorch and the core concepts of semantic segmentation, including dataset handling, loss calculation, and model evaluation metrics such as accuracy and IoU.
pytorchsemantic-segmentationdatasetcomputer-visionparsing
roudimit/MUSIC_dataset
Oct 2018 - May 2020
MUSIC Dataset from The Sound of Pixels (ECCV '18)
Contributions:3 commits, 3 pushes in 1 year 7 months
eccvdatasetpixelsmusicsound
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