Giacomo Zanardini
PhD student, Erasmus MC
Interests
- Deep Learning
- Osteoarthritis
- Musculoskeletal Imaging
Education
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MSc Signals and Systems, 2025
TU Delft
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BSc Electrical Engineering, 2022
Newcastle University
Biography
Giacomo Zanardini is a PhD Candidate under the research line on Musculoskeletal Imaging, since May 2026. His project, as part of the PROBE consortium, focuses on the application of deep learning techniques to analyze medical images for the diagnosis and prognosis of osteoarthritis. He is currently working on developing AI-based methods for the analysis of knee MRI scans. The ultimate goal of his research is to improve the early detection and monitoring of osteoarthritis, which could lead to better patient outcomes and more personalized treatment strategies.
Giacomo holds a Bachelor’s degree in Electrical Engineering from Newcastle University and a Master’s degree in Signals and Systems from TU Delft. His prior experience includes a research internship at the department of neurology at Erasmus MC, where he worked on the application of machine learning techniques for the analysis of inconclusive EEG data in patients with epilepsy.
His broader research interests include medical signal processing, medical image analysis, machine learning, electrophysiology, and the translation of quantitative methods into clinical applications. He enjoys working at the intersection of engineering, data science, and medicine.