Matteo Leccardi
PHD Student at Politecnico di Milano
Milan, Lombardy, Italy
Summary
👤
Senior🎓
Top SchoolMatteo Leccardi is a PhD candidate at Politecnico di Milano’s B3Lab, collaborating with ETH Zurich, who applies deep learning and graph-based models to extract and map 3D cardiac features from clinical CCTA images. With 15 years of professional experience and a background in automation and physics engineering, he focuses on non-invasive quantitative assessment of coronary arteries to reduce reliance on risky invasive procedures like ICA and FFR. His work blends state-of-the-art medical image segmentation techniques, attention mechanisms and clinical insight to enable faster, more meaningful screening and decision support for cardiology. A visiting researcher at ETH’s BMIC group, he brings cross-institutional research experience and a practical mindset aimed at translating algorithms into tools that streamline clinicians’ workflows.
14 years of coding experience
Master's Degree (EQF Level 7), Automation and Control Engineering, 100 (out of 110), Master's Degree (EQF Level 7), Automation and Control Engineering, 100 (out of 110) at Politecnico di MilanoLiceo Scientifico e Linguistico Statale "G. Marconi", Milano
English, Italian, German
Github Skills (22)
docker8
calibre8
kobo8
terminal-emulator8
drm8
emacs7
elisp6
melpa6
python6
emacs-lisp6
spacemacs5
indentation5
ripgrep4
gnu4
sql3
Programming languages (3)
Github contributions (5)
matteo-l/zenburn-emacs
Mar 2019 - Jun 2024
The Zenburn colour theme ported to Emacs
Contributions:10 pushes in 5 years 3 months
emacscolour
GuITeX/guidaemacsauctex
Jun 2011 - Jan 2014
Contributions:13 commits in 2 years 8 months
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