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.
6 years of coding experience
2 years of employment as a software developer
Friends' Central School
Doctor of Philosophy - PhD, Computer Science, Deep Learning, Doctor of Philosophy - PhD, Computer Science, Deep Learning at University of Chicago
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