Zhaowei Zhu
Researcher & Co-Founder at Docta.ai
San Jose, California, United States
Summary
🤩
Rockstar🎓
Top SchoolZhaowei Zhu is a researcher and co-founder with six years of experience advancing weakly supervised learning, fairness, and federated learning, holding a PhD candidacy from UC Santa Cruz. He is first author on papers at ICML, NeurIPS, ICLR, CVPR, and SIGMETRICS, and has translated research into practice through a ByteDance internship and his startup Docta.ai. His work blends theoretical rigor with practical evaluation methods—evidenced by contributions like "Evaluating Fairness Without Sensitive Attributes"—and targets real-world robustness to label noise and limited supervision. Based in San Jose, he seeks a full-time research scientist role where he can continue bridging cutting-edge ML research and deployable solutions.
6 years of coding experience
4 years of employment as a software developer
Master's degree Computer Engineering, Master's degree Computer Engineering at ShanghaiTech UniversityUniversity of California Santa CruzBachelor's degree Electrical Electronics and Communications Engineering, Bachelor's degree Electrical Electronics and Communications Engineering at University of Electronic Science and Technology of China
Github Skills (23)
noise9
weakly-supervised-learning9
image-processing7
robustness7
rlhf7
computer-vision6
image-segmentation6
paper6
semantic-segmentation6
language-model6
python6
object-detection5
deep-learning5
machine-learning5
image5
Programming languages (3)
Github contributions (5)
UCSC-REAL/HOC
Feb 2021 - Jun 2022
Contributions:37 commits, 2 PRs, 16 pushes in 1 year 4 months
UCSC-REAL/Disparate-SSL
Oct 2021 - Mar 2022
Contributions:3 commits, 1 push in 5 months
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