Summary
Pietro Nardelli is an Assistant Professor of Radiology at Harvard Medical School and Lead Scientist at Brigham and Women's Hospital, with 11 years of experience applying scientific computing and machine learning to medical imaging. He leads NIH-funded translational research that turns complex CT data into actionable biomarkers, pioneering zero-shot dual-energy CT decomposition and AI-driven phenotyping for pulmonary vascular disease. Trained as an engineer with a PhD in Electrical and Electronics Engineering and an MBA, he bridges imaging physics, deep learning, and epidemiogenetics to enable more precise disease characterization and therapeutic discovery. Comfortable in Python, C++, TensorFlow and high-performance computing, he builds scalable, clinically-focused tools that move algorithms from prototype to practice. Unusually, his work leverages zero-training approaches to overcome limited labeled data in imaging, accelerating deployment in real-world clinical settings.
11 years of coding experience
Doctor of Philosophy - PhD, Electrical and Electronics Engineering, Doctor of Philosophy - PhD, Electrical and Electronics Engineering at University College Cork
Master's degree, Bioengineering and Biomedical Engineering, Master's degree, Bioengineering and Biomedical Engineering at Università degli Studi di Genova
Master of Business Administration - MBA, Business Administration and Management, General, Master of Business Administration - MBA, Business Administration and Management, General at thePower
Italian, English, Spanish