Yun Liu
Software Engineer at NVIDIA
Shanghai, Hong Kong
Summary
🤩
Rockstar🎓
Top SchoolYun Liu is a software engineer with six years of experience specializing in medical imaging and deep learning, currently contributing at NVIDIA from Shanghai. With a master's in Biomedical Engineering from East China Normal University, Yun has made substantive open-source contributions to MONAI—improving 3D segmentation and classification tutorials, transforms, and MetaTensor support—demonstrating practical expertise in UNet and Swin UNETR workflows. They bridge research and production by focusing on robust image-processing pipelines and data augmentation for clinical AI toolkits. Colleagues can expect a developer comfortable navigating library-level changes and tutorial-driven improvements that help onboard other practitioners to complex medical-ML models.
6 years of coding experience
Master's degree, Biomedical/Medical Engineering, Master's degree, Biomedical/Medical Engineering at East China Normal University
Github Skills (15)
pytorch10
deeplearning-ai10
deep-learning10
data-augmentation10
medical-image-analysis10
ai10
python10
imaging9
medical-image-processing9
enet9
medical-imaging9
jupyter-notebook8
computer-vision8
medical-image-computing8
tensorflow4
Programming languages (3)
Github contributions (5)
Project-MONAI/tutorials
Jul 2022 - Jan 2023
MONAI Tutorials
Role in this project:
ML Engineer
ML EngineerContributions:284 reviews, 24 commits, 207 PRs in 6 months
Contributions summary:Yun's commits primarily focused on updating and modifying tutorials related to medical image analysis within the MONAI framework. They made substantial changes to various 3D segmentation tutorials, including those utilizing UNet and Swin UNETR architectures, and incorporated updates to the `EnsureChannelFirstd` transform. Furthermore, the user updated the 3D classification tutorials. This indicates a focus on implementing and refining deep learning models for medical image analysis tasks within the MONAI ecosystem.
pytorchmonai-tutorialsdeep-learningjupyter-notebookmonai
Project-MONAI/MONAI
Jul 2022 - Jan 2023
AI Toolkit for Healthcare Imaging
Role in this project:ML Engineer
ML EngineerContributions:3 releases, 997 reviews, 34 commits in 6 months
Contributions summary:Yun primarily contributed to the development of the MONAI toolkit, focusing on enhancing image processing and deep learning functionality. Their work included modifications to transforms within the library, specifically related to data augmentation and instance segmentation. The user also addressed code style issues and integrated MetaTensor support.
pytorchpythondeep-learningmedical-image-processingcomputer-vision
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