Mitchell Cavanagh
Machine Learning Software Engineer at DUG
Perth, Western Australia
Summary
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Senior🎓
Top SchoolMitchell Cavanagh is a machine learning software engineer and astrophysicist with a decade of experience applying deep learning to astronomical problems, currently building ML solutions at DUG from Perth. He completed a PhD at UWA where he developed convolutional neural networks to study galaxy evolution across surveys and simulations, winning the 2022 Ken and Julie Michael Prize for his work. His projects span U-Nets for galaxy segmentation, GANs for synthetic galaxy images, and real-time crater detection on Mars using YOLOv3—work that earned a judges' award at Pawsey. An effective science communicator who has written for Astrobites, he combines rigorous research, production ML engineering, and a knack for distilling complex ideas into concise narratives.
10 years of coding experience
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at The University of Western AustraliaGithub contributions (5)
Mythcell/kerasgan
Aug 2022 - Dec 2022
Contributions:2 releases, 11 commits, 11 pushes in 3 months
Mythcell/c2
Feb 2021 - Feb 2023
Contributions:1 push in 1 year 11 months
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