Zongwei Zhou
Assistant Professor at The Johns Hopkins University
Baltimore, Maryland, United States
Summary
🤩
Rockstar🎓
Top SchoolZongwei Zhou is an assistant professor at Johns Hopkins University and Johns Hopkins Medicine whose 11-year career bridges medical computer vision, language, and graphics to advance early cancer detection and diagnosis. He leads an NIH–NIBIB R01–funded lab and has been consistently recognized—AMIA Doctoral Dissertation Award, MICCAI Young Scientist Award, Elsevier–MedIA Best Paper, and listed among the Top 2% of Scientists Worldwide since 2022. His research emphasizes reducing annotation burden for medical AI, with hands-on contributions to influential open-source projects like ModelsGenesis and UNet++ implementations that support 3D self-supervised learning and segmentation. Trained as a PhD in Biomedical Informatics from Arizona State University and with research stints at Mayo Clinic and CHUM/Mila collaborations, he combines rigorous algorithmic development with clinical partnerships to move models toward real-world impact. An underappreciated strength is his fluency across model design, data processing, and deployment pipelines, enabling rapid iteration from idea to reproducible code.
11 years of coding experience
5 years of employment as a software developer
Summer School, Macroeconomics, Summer School, Macroeconomics at University of California, BerkeleyDoctor of Philosophy - PhD, Biomedical Informatics, Doctor of Philosophy - PhD, Biomedical Informatics at Arizona State UniversityBachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at Dalian University of Technology
Github Skills (11)
net10
keras10
medical-imaging10
computer-vision10
machine-learning10
image-segmentation10
pytorch10
segmentation10
python10
deep-learning9
tensorflow8
Programming languages (2)
Github contributions (5)
MrGiovanni/UNetPlusPlus
Apr 2018 - Jun 2021
[IEEE TMI] Official Implementation for UNet++
Role in this project:
ML Engineer
ML EngineerContributions:150 commits, 4 PRs, 116 pushes in 3 years 2 months
Contributions summary:Zongwei primarily made modifications to the `model.py` file, which defines different neural network architectures such as U-Net, wU-Net, and Nest-Net. These changes included adjusting dropout rates, activation functions, and model outputs, indicating a focus on experimenting with and refining the model's design. Furthermore, the user added and modified files related to segmentation models, indicating a deep involvement in the development and optimization of image segmentation models within the repository.
deep-learningimage-segmentationunet-image-segmentationimagingtensorflow
MrGiovanni/ModelsGenesis
Jul 2019 - Feb 2022
Official Keras & PyTorch Implementation and Pre-trained Models for Models Genesis - MICCAI 2019
Role in this project:ML Engineer
ML EngineerContributions:200 commits, 4 PRs, 163 pushes in 2 years 7 months
Contributions summary:Zongwei's commits primarily involve modifications to Python scripts related to a 3D UNet model and other code related to the Models Genesis project, implementing self-supervised learning, and dealing with 3D medical images. The changes include updating configurations, data processing, and model training code. These adjustments strongly suggest the user's focus on model development, configuration, and potentially the training process within this computer vision project.
pytorchpre-trained-modeldeep-learningrepresentation-learningtransfer-learning
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.