Marco Colussi is a Machine Learning Engineer and PhD in Computer Science based in Milan with eight years of experience applying deep learning to medical imaging and bioinformatics. He has blended academic research—postdoctoral and visiting roles that produced a WACV 2025 Test-Time Training algorithm—with industry practice, deploying ML pipelines and document understanding models as a consultant. His recent work emphasizes anomaly detection using implicit neural representations and practical strategies to cope with scarce clinical data. Comfortable moving between research and production, he contributes to computer vision projects from a research fellow perspective while driving applied solutions at mediaire. An attention to robustness appears across his work, from rule-based error correction in deployed systems to novel test-time adaptation methods.
8 years of coding experience
1 year of employment as a software developer
University of Milan
Summer school, Deep learning for medical imaging 2023, Summer school, Deep learning for medical imaging 2023 at INSA Lyon - Institut National des Sciences Appliquées de Lyon
Contributions:13 commits, 9 pushes, 1 branch in 2 days
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Marco Colussi - Machine Learning Engineer at mediaire