Andrea Pagnani
Professor at Politecnico di Torino
Turin, Piedmont, Italy
Summary
👤
Senior🎓
Top SchoolAndrea Pagnani is a theoretical physicist and computational biologist with over a decade of research and academic experience, currently a professor at Politecnico di Torino and co-PI at the Human Genetic Foundation. His work blends statistical inference, message-passing algorithms, and machine learning to tackle problems from protein and RNA structural prediction to regulatory and metabolic network inference. He has a strong grounding in statistical physics of disordered systems and has applied those principles to hard combinatorial problems like graph coloring and Boolean networks. Andrea’s career bridges academia and research institutes across Europe, translating deep theoretical methods into practical tools for “omics” data analysis. Notably, he often leverages insights from spin-glass theory to improve inference algorithms, an uncommon cross-disciplinary approach that yields robust solutions for biological inverse problems.
12 years of coding experience
10 years of employment as a software developer
Ph.D, Physics, Ph.D, Physics at Università di Roma Tor VergataMaster in Physics, Statistical physics of disordered systems, Master in Physics, Statistical physics of disordered systems at Università degli Studi di Roma 'La Sapienza'
French, English
Github Skills (105)
programming-language10
maximization10
root-finding10
science10
julia10
jupyter-extension10
numerical10
machine-learning10
hpc10
petsc10
julialang9
rewriting9
symbolic-math9
pattern-matching9
bioinformatics9
Programming languages (7)
Github contributions (5)
anna-pa-m/Metabolic-EP
Apr 2017 - Feb 2022
Code and data for analysis of metabolic networks
Contributions:81 commits, 20 PRs, 73 pushes in 4 years 11 months
bioinformaticsmetabolic-networks
pagnani/ArDCA.jl
Dec 2020 - Jan 2023
Autoregressive networks for protein
Contributions:14 releases, 4 reviews, 102 commits in 2 years 1 month
proteinautoregressive
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