Joseph Marsilla is a data science analyst and applied PhD candidate in Medical Biophysics focused on machine learning and computer vision for adaptive, automated radiation therapy. With eight years of experience bridging research and industry, he builds and integrates translational computer-vision systems at University Health Network and contributes to datasets and community challenges that advance clinical workflows. He combines deep learning expertise in organ-at-risk and target contouring with practical product-minded engineering—previously releasing open-source tools for microscopy image analysis and supporting ML-driven drug discovery. Joseph has founded and led small businesses in education and home improvement, giving him rare experience translating technical innovation into customer-facing solutions. Currently on leave from academia to gain industry experience, he is driven to deploy data-driven solutions that tangibly improve patient care and home-improvement workflows.
8 years of coding experience
5 years of employment as a software developer
Bachelor's Degree (with High Distinction), Biological and Physical Sciences, Bachelor's Degree (with High Distinction), Biological and Physical Sciences at University of Toronto
Boilerplate for PyTorch Lightning based medical-image segmentation pipeline for to enable automated segmentation of organs-at-risk (in head and neck cancer) by using Simple Open-Source 3D CNNS
Contributions:242 commits, 2 PRs, 381 pushes in 1 year
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