Gerente Médico De Inovação E Inteligência Artificial at Hapvida NotreDame Intermédica
São Paulo, Brazil
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Summary
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Fabiano Filho is a medical doctor and data scientist with eight years of experience building and deploying machine learning solutions for clinical care and public health. Currently Head of Medical AI Innovation at Hapvida NotreDame Intermédica and a PhD student in Machine Learning in Public Health at USP, he bridges frontline clinical insight with rigorous predictive modeling to improve cardiology and population health outcomes. He has led end-to-end AI projects—from neural-network research on CT-based biological age and infarction prediction to production-ready Medical AI APIs and governance frameworks. An experienced researcher and educator, he teaches AI in medical curricula, contributes to LABDAPS research on multicalibration and fairness, and has a track record of publishing and presenting clinical-AI work. Less obvious: he combines grassroots community building (Hacking Health chapter leadership) with institutional innovation, making him equally fluent in startup-style problem solving and academic rigor.
7 years of coding experience
4 years of employment as a software developer
Doctor of Medicine (MD) Medicine, Doctor of Medicine (MD) Medicine at EMESCAM
ML4H Career Mentorship Machine Learning for Health, ML4H Career Mentorship Machine Learning for Health at Association for Health and Learning Inference
Doctor of Philosophy - PhD Machine Learning in Public Health, Doctor of Philosophy - PhD Machine Learning in Public Health at USP - Universidade de São Paulo
Postgraduate Degree Family Medicine, Postgraduate Degree Family Medicine at Faculdade Israelita Albert Einstein
Contributions:10 commits, 9 pushes, 1 branch in 1 day
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Fabiano Filho - Gerente Médico De Inovação E Inteligência Artificial at Hapvida NotreDame Intermédica