Michele Invernizzi is a Senior Computational Scientist with a decade of experience advancing AI-for-science methods at the intersection of atomistic simulation and machine learning. With a PhD in Physics from ETH Zurich and postdoctoral roles in leading groups (Noé and Parrinello), he develops deep generative models to extend the scope of atomistic simulations, currently focusing on intrinsically disordered proteins. He combines research-grade rigor—evidenced by an active scholarly record—with hands-on software engineering, contributing bug fixes and reweighting improvements to the widely used PLUMED molecular simulation codebase. Based in Lugano and now at Peptone, he translates cutting-edge AI ideas into computational tools for the life sciences. Less obvious: he bridges theory and production by integrating advanced statistical reweighting techniques into deployable code, ensuring methodological advances are reproducible and usable by practitioners.
10 years of coding experience
2 years of employment as a software developer
University of Milan
Doctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at Eidgenössische Technische Hochschule Zürich
Contributions:5 reviews, 324 commits, 48 PRs in 3 years 9 months
Contributions summary:Michele's commits primarily focused on restyling calculations related to reweighting within the PLUMED2 repository. They addressed a bug in multidimensional grid integration and corrected a regression test for 2D reweighting. Furthermore, the user modified keywords and documentation associated with the reweighting calculations, specifically in the `MetaD.cpp` file.
Contributions:1 release, 87 commits, 86 pushes in 2 years 7 months
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.