Michela Sperti is a Senior Data Scientist combining a PhD in Bioengineering with five years of experience at the intersection of data, healthcare, and machine learning. She has moved from academic research—developing AI and explainable models for cardiovascular and pathology dynamics at Politecnico di Torino and as a visiting student in Canada—to an industry role at Medtronic, translating predictive models into clinical-grade solutions. Her work spans atomistic-level cardiotoxicity prediction to OCT-based risk scoring for coronary plaques, reflecting strength in multi-scale biomedical problems and interpretable AI. Skilled in Python and model explainability, she also contributes to grant writing and cross-disciplinary projects that bridge computational modelling with experimental and clinical data. Based in Turin, Michela blends rigorous academic training with practical translation experience and a proven track record in collaborative European research initiatives. An often-overlooked asset is her classical humanities background, which informs clear scientific communication and teaching.
5 years of coding experience
2 years of employment as a software developer
High school diploma, Classical and Ancient Studies, 100/100, High school diploma, Classical and Ancient Studies, 100/100 at Liceo Classico Vittorio Alfieri Torino
Doctor of Philosophy - PhD, Bioengineering and Biomedical Engineering, Doctor of Philosophy - PhD, Bioengineering and Biomedical Engineering at Politecnico di Torino
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