Alessandro Lucantonio

Associate Professor

Aarhus, Central Denmark Region, Denmark
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts

Summary

👤
Senior
🎓
Top School
Alessandro Lucantonio is an Associate Professor and head of the Computational Physics and Machine Learning Lab at Aarhus University, with a decade of research and academic leadership bridging theoretical mechanics, multiphysics simulation, and data-driven modeling. His career spans tenure-track and research roles at Scuola Superiore Sant'Anna and SISSA, grounded in a PhD on swelling-driven instabilities in soft materials and postdoctoral work blending functional analysis with applied mechanics. He develops computational methods—often finite-element and machine-learning hybrids—to tackle complex problems in soft condensed matter, biomechanics, and smart materials. Known for translating deep theoretical insight into practical simulation tools, he combines rigorous mathematical training with hands-on experimental collaborations dating back to work at Princeton. His background in aerospace and space engineering, graduated summa cum laude, gives him a unique multi-scale perspective from continuum mechanics to computational implementation.
code11 years of coding experience
job4 years of employment as a software developer
bookM.Sc. in Space Engineering, 110/110 cum laude, M.Sc. in Space Engineering, 110/110 cum laude at Università degli Studi di Roma 'La Sapienza'
languagesItalian, English
github-logo-circle

Github Skills (51)

ssreflect9
gradient-descent9
matrix9
statistics9
graph9
genetic-programming9
gpu9
jax9
symbolic-regression9
homotopy-type-theory8
data-analysis8
optimization8
scientific-computing8
jit8
go8

Programming languages (6)

C++CGoPHPJupyter NotebookPython

Github contributions (5)

github-logo-circle
cpml-au/Flex

May 2024 - Jun 2026

A flexible, genetic programming-based symbolic regression library built on DEAP.
Contributions:3 releases, 11 reviews, 10 PRs in 2 years 1 month
genetic-programmingsymbolic-regression
cpml-au/dctkit

Jan 2023 - Mar 2026

A toolkit for discrete calculus.
Contributions:1 release, 17 reviews, 29 PRs in 3 years 1 month
ssreflectsymbolic-computationhomotopy-type-theorycalculustype-theory
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial