Fredo Guan
Research Assistant at ASU Biodesign Institute
Tempe, Arizona, United States
Summary
👤
Senior🎓
Top SchoolFredo Guan is a research-focused machine learning practitioner based in Tempe with a decade of hands-on experience exploring interpretability, representation learning, and knowledge extraction. Currently contributing to projects at ASU Biodesign Institute and Algoverse, he blends academic curiosity with applied research goals and is actively seeking research internships or PhD collaborations. Trained in computer science at Arizona State after foundational studies at Bellevue College, he emphasizes methods that make models more transparent and their internal representations more actionable. Colleagues describe him as a pragmatic researcher who favors reproducible experiments and aims to turn opaque model behavior into usable insights for downstream applications.
10 years of coding experience
Associate of Arts and Sciences - AAS, Associate of Arts and Sciences - AAS at Bellevue CollegeBachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Ira A. Fulton Schools of Engineering at Arizona State University
Github Skills (47)
pytorch10
distributed-training10
cnn-classification10
imagenet10
image-classification10
mixnet10
optimizer10
mobilenet10
resnet10
vision-transformer10
visual-recognition10
efficientnet10
transformer9
backbone8
python8
Programming languages (3)
Github contributions (5)
fffffgggg54/pytorch-image-models
Dec 2022 - Jan 2025
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
Contributions:2 releases, 35 PRs, 722 pushes in 2 years 1 month
mobilenetvisual-recognitionpretrained-weightsimage-classificationpretrained
fffffgggg54/ImagenetClassifier
Jan 2023 - Apr 2023
Contributions:374 pushes, 1 branch in 3 months
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