Pietro Barbiero
Postdoctoral Research Fellow at IBM
Lugano, Ticino, Switzerland
Summary
👤
Senior🎓
Top SchoolPietro Barbiero is a computational scientist and postdoctoral researcher with a decade of experience bridging machine learning, neural networks, and evolutionary algorithms, focused on precision medicine and neurosymbolic AI. He holds a PhD in Artificial Intelligence from the University of Cambridge and advanced training in mathematical engineering, and has translated academic research into applied projects at USI and now IBM. His work spans digital twins and interpretable models for healthcare, combining rigorous theory with practical algorithm development. Notably, he progressed from industry algorithm development to leading research roles, reflecting an unusual blend of hands-on engineering and deep academic expertise.
10 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at University of CambridgeLiceo Classico Statale "Vittorio Alfieri"Master of Engineering - MEng, Mathematical Engineering, Master of Engineering - MEng, Mathematical Engineering at Politecnico di Torino
English, Italian
Github Skills (15)
entropy10
sympy10
logic10
deep-learning8
machine-learning8
pytorch8
python8
weakly-supervised-learning7
neural-network6
information-theory6
xai6
lime4
artificial-intelligence3
fairness-ml3
weak-supervision3
Programming languages (3)
Github contributions (5)
pietrobarbiero/logic_explained_networks
Dec 2020 - Apr 2021
Contributions:1 release, 95 commits, 155 pushes in 3 months
pietrobarbiero/pytorch_explain
Apr 2021 - Jan 2023
PyTorch Explain: Logic Explained Networks in Python.
Contributions:2 releases, 178 commits, 2 PRs in 1 year 9 months
deep-learningentropyexplainabilityexplainable-ailens
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