Zudi Lin
Applied Scientist at Amazon
Cambridge, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolZudi Lin is an applied scientist with nine years of research and industry experience, currently focused on speech processing and understanding at Amazon in Cambridge, MA. He blends deep learning expertise across speech, computer vision, and neuroscience—drawing on a PhD and MS in Computer Science from Harvard and a biology background from Tsinghua—to tackle multimodal and biologically inspired problems. His prior work spans semantic and instance segmentation, active and unsupervised learning, and large-scale connectomics, giving him a rare perspective on both algorithmic modeling and neural circuit analysis. Zudi has also translated research into industry settings through internships at AWS CV Science and Mitsubishi Electric Research Labs, with practical experience in multimodal representation learning. Colleagues describe him as someone who bridges rigorous academic methods with production-minded solutions, often bringing insights from neuroscience into applied ML systems.
9 years of coding experience
6 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Harvard UniversityBachelor's degree, Biology/Biological Sciences, General, Bachelor's degree, Biology/Biological Sciences, General at Tsinghua University
Github Skills (35)
pytorch10
biomedical-image-processing10
python10
toolbox10
machine-learning10
neuroscience10
deep-learning10
segmentation10
gpu10
computer-vision10
microscopy10
numpy9
super-resolution9
acceleration9
autograd9
Programming languages (2)
Github contributions (5)
zudi-lin/rcan-it
Jan 2022 - Jun 2022
Revisiting RCAN: Improved Training for Image Super-Resolution
Contributions:1 review, 8 commits, 1 PR in 4 months
pytorchrcanimproveddeep-learningoptimization
zudi-lin/pytorch_connectomics
Mar 2019 - Nov 2022
PyTorch Connectomics: segmentation toolbox for EM connectomics
Contributions:38 reviews, 610 commits, 83 PRs in 3 years 8 months
pytorchneuroscienceconnectomicsdeep-learningtoolbox
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