Alessandro Oliva
I got interested in machine learning while studying medicine. After graduating, I worked as a research physician in cardiology at San Raffaele Hospital in Milan. My research used machine learning to predict cardiovascular recovery after acute care. I now work as a Clinical AI Scientist at Kalibios AG.
Machine Learning Specialization
2025 - 2026Stanford University Online
Studied machine learning algorithms and how to implement them in Andrew Ng's course.
Master's degree in medicine and surgery
2018 - 2024San Raffaele University, Milan
Thesis in cardiac electrophysiology: "Management of persistent left atrial appendage thrombosis in patients with atrial fibrillation on anticoagulation therapy".
Clinical AI Scientist
2025 - presentKalibios AG, Basel
I build clinical AI logic and backend services for a digital health platform for longevity coaching and chronic disease prevention.
Junior Associate Editor
2025 - presentInternational Journal of Cardiology: Innovations | Elsevier
I assess cardiology submissions that use AI and machine learning, select reviewers, and make editorial recommendations.
Research Physician
2024 - 2025Cardiology Department, San Raffaele Hospital, Milan
I researched how machine learning could predict cardiovascular recovery after acute care.
I built an AI assistant that answers clinicians' questions and cites the clinical guidelines behind each answer.
- The Python pipeline reads text, tables, and figures from ESC and AHA guidelines. Vision models convert images to JSON, and Pydantic validates the extracted data. It links clinical entities into a knowledge graph with thresholds, drug classes, and decision pathways.
- Retrieval combines OpenAI embeddings and MongoDB Atlas Vector Search with graph queries to find relevant guideline passages and cite their sources.
The soaring potential of machine learning in CAD prediction
2025A. Oliva, F. Robotti
Machine Learning Forecast of Discharge 6MWT after Cardiac Rehabilitation: an Elastic Net Approach Using Acute Phase Data from the EU-Next Generation PROMETEO Registry
2025A. Oliva, F. Robotti, A. Fuga, F. Di Salvo, G. Novembre, S. Gonnella, C. Riccio, A. Cesaro, M. Loguercio, M. Ambrosetti, P. Calabrò, N. Morici, D. Cianflone
Research abstract presented at Change In Cardiology 2025, Turin, Italy
The "No-cut technique" for lead preparation in transvenous lead extraction
2025M. Baroni, A. Preda, L.F. Milillo, A. Oliva, L. Rampa, R. Falco, M. Carbonaro, S. Vargiu, M. Varrenti, G. Colombo, F. Guarracini, L. Gigli, A. Frontera, G. Paglino, A. Marzi, P. Della Bella, P. Mazzone
A Novel Score to Predict Left Atrial Appendage Thrombus and Sludge in Patients with Persistent Atrial Fibrillation on Chronic Anticoagulants
2024L. Rampa, C. Gaspardone, D. Cianflone, G. Scalisi, A. Oliva, A. Preda, G. Fiore, E. Agricola, P. Della Bella