Michele Gentili is a Machine Learning Engineer with a decade of experience translating AI research into biomedical impact, currently advancing therapeutic discovery at Biogen after postdoctoral work at Harvard and Mass General Brigham. He designs multimodal ML and network-medicine methods that prioritize disease genes, predict progression, and uncover drug targets, leveraging large-scale EHR and multiomics datasets. His PhD produced practical gains—improving thyroid cancer recurrence prediction by 12% and building risk models from a 1.2M‑patient platform—demonstrating a rare blend of statistical rigor and production-minded engineering (Python, R, SQL, Linux). Comfortable bridging academia and industry, Michele also led applied projects in real-estate forecasting and taught data science courses, reflecting strong communication and productization skills. He focuses on cross-disciplinary solutions that combine computational innovation with cancer biology insights to accelerate clinically relevant discoveries.
10 years of coding experience
4 years of employment as a software developer
ingegneria gestionale, Data Processing, 110 /110 e Lode, ingegneria gestionale, Data Processing, 110 /110 e Lode at Università degli Studi di Roma 'La Sapienza'
Doctorate in Data Science, Computer Science, Doctorate in Data Science, Computer Science at Sapienza Università di Roma
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Michele Gentili - Machine Learning Engineer at Biogen