Dale Decatur

Greater Philadelphia United States
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Summary

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Rockstar
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Top School
Dale Decatur is a Ph.D. student at the University of Chicago’s 3DL lab specializing in deep learning, computer vision, and graphics with six years of research and industry experience. He has applied ML to practical problems ranging from extracting structured information from graphs to object detection, and interned at Adobe and Amazon where he worked on applied research and software engineering. His work bridges academic rigor and product-focused engineering, evidenced by an upcoming VLDB submission and hands-on model development using TensorFlow/Keras. Earlier projects span bioinformatics and image-processing pipelines, demonstrating a knack for designing custom algorithms for noisy, real-world data. Based in the Greater Philadelphia area, he combines theoretical depth with a track record of shipping reproducible research and tooling.
code6 years of coding experience
job2 years of employment as a software developer
bookFriends'​ Central School
bookDoctor of Philosophy - PhD, Computer Science, Deep Learning, Doctor of Philosophy - PhD, Computer Science, Deep Learning at University of Chicago
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Github Skills (10)

computer-graphics9
geometry-processing8
3d7
pytorch7
deep-learning6
matlab6
mesh4
python4
geometry4
computational-geometry3

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

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ddecatur/VizExtract

Apr 2021 - Oct 2021

Contributions:28 commits, 24 pushes in 6 months
threedle/3DHighlighter

Dec 2022 - Dec 2022

Localizing Regions on 3D Shapes via Text Descriptions
Contributions:2 reviews, 25 commits, 4 PRs in 11 days
3dcomputer-graphicsdeep-learningdifferentiable-renderinggeometry-processing
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Dale Decatur