Andrea Campagner
Artificial Intelligence Researcher at Ospedale Galeazzi - Sant'Ambrogio
Milan, Lombardy, Italy
Summary
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Senior🎓
Top SchoolAndrea Campagner is an Artificial Intelligence Researcher and PhD-trained machine learning specialist based in Milan with 11 years of experience applying uncertainty representation and cautious prediction techniques to clinical problems. Currently a postdoctoral researcher at IRCCS Ospedale Galeazzi Sant'Ambrogio, he designs and evaluates ML methods and human-AI interaction protocols to improve diagnosis, prognosis and patient-centred clinical decision support. His doctoral work combined theoretical and empirical advances in fuzzy labels, soft clustering and conformal prediction, and he has repeatedly bridged academia and hospitals to deploy medically relevant research. Andrea’s profile reflects a rare mix of rigorous uncertainty quantification expertise and practical clinical data science experience, including roles at Deloitte and multiple hospital collaborations.
11 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Machine Learning, Doctor of Philosophy - PhD, Machine Learning at Università degli Studi di Milano-Bicocca
Italian, English, French, Japanese
Github Skills (15)
weakly-supervised-learning9
google-sites8
needleman-wunsch7
smith-waterman7
meta-analysis6
python5
machine-learning5
tsne5
single-cell-analysis4
sequence4
pipeline3
feature-extraction3
sequence-alignment3
inference2
portable2
Programming languages (2)
Github contributions (5)
AndreaCampagner/scikit-weak
Jul 2021 - Nov 2022
A library featuring utilities and algorithms for weakly supervised ML
Contributions:65 commits, 1 PR, 45 pushes in 1 year 3 months
weakly-supervised-learningpythonsupervisedmachine-learning
AndreaCampagner/softpy
Mar 2023 - Jan 2025
GitHub for the softpy library: a Python library for soft computing, currently focused on Fuzzy Systems and Evolutionary Computing
Contributions:2 PRs, 36 pushes, 2 branches in 1 year 11 months
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