Zong Fan
Data Science Intern AI N Digital Health
Champaign, Illinois, United States
Summary
👤
Senior🎓
Top SchoolZong Fan is a data scientist and Ph.D. candidate in Bioengineering at UIUC with a decade of experience applying deep learning to healthcare, bioinformatics, and video/image analysis. Currently at Johnson & Johnson, he builds and benchmarks foundation models for time-series wearable data—designing 1D/2D adaptations of CNNs and ViTs, applying self-supervised pretraining, and innovating loss and augmentation strategies to improve noise robustness. His background spans translational bioinformatics (NGS and single-cell), multimodal fusion for chemical and cellular profiling, and production-ready algorithm engineering for computer vision. Comfortable moving between research and applied engineering, he combines rigorous academic training (UIUC, Zhejiang) with hands-on model development and pipeline design. Outside work he’s a tech geek and snowboarder, reflecting a practical curiosity and appetite for iterative problem-solving in both labs and mountains.
10 years of coding experience
5 years of employment as a software developer
Master's degree, Bioengineering and Biomedical Engineering, 4.0, Master's degree, Bioengineering and Biomedical Engineering, 4.0 at University of Illinois Urbana-ChampaignBachelor of Science (BS), Biology, General, 3.74/4, Bachelor of Science (BS), Biology, General, 3.74/4 at Zhejiang University
English
Github Skills (79)
python10
voc10
deep-learning10
opencl10
ml10
neural-network10
pascal10
data-science10
cpu10
tensorflow10
machine-learning10
deep-neural-networks10
word2vec9
javascript9
tvm9
Programming languages (3)
Github contributions (5)
CasiaFan/object_detection_papers_summary
Aug 2017 - Oct 2017
Contributions:10 commits, 5 pushes, 1 branch in 2 months
CasiaFan/tensorflow_retinanet
Oct 2017 - Jul 2019
Contributions:17 commits, 14 pushes, 1 branch in 1 year 9 months
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