Max Homilius is a Principal Data Scientist with 11 years of experience at the intersection of computational biology and machine learning, currently leading translational ML efforts at Mass General Brigham. He has built deep learning models across diverse biomedical modalities—from blood cytometry and ECGs to clinical notes—and translated learned representations into biobank-scale genetic association studies. His work bridges integrative multi-omics analyses and novel phenotype engineering, including cellular perturbation responses and deep learning-derived cardiac traits. Trained at Princeton and Cambridge with a background in bioinformatics, he blends rigorous computational research with practical deployment in clinical and hospital settings. A less obvious strength is his sustained track record of turning methodological advances from postdoc research into production-ready analytics used in large healthcare organizations.
11 years of coding experience
7 years of employment as a software developer
MPhil, Computational Biology, MPhil, Computational Biology at University of Cambridge
Bachelor of Science - BS, Bioinformatics, Bachelor of Science - BS, Bioinformatics at Freie Universität Berlin
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at Princeton University
Robust de-identification of medical notes using transformer architectures
Contributions:5 releases, 5 commits, 4 pushes in 3 months
nlparchitecturesnotestransformersmedical-notes
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