Andrea Rizzi
Member Of The Technical Team at Achira
Lombardy, Italy
Summary
👤
Senior🎓
Top SchoolAndrea Rizzi is a computational chemist and software engineer with 13 years of experience applying machine learning to molecular simulations and free energy calculations for protein–ligand binding. With a PhD in Computational Biology from Cornell and engineering roots from Politecnico di Milano, he has transitioned academic advances into practical tools while leading ML-driven method development at Forschungszentrum Jülich and now contributing to Achira’s technical team. His work spans generative models, machine-learned collective variables for enhanced sampling, and accelerating FEP workflows from force fields to QM/MM, blending rigorous theory with production-aware implementation. Based in Lombardy, Italy, he combines deep domain expertise with a rare cross-disciplinary fluency in computer engineering and biomolecular modeling that enables both algorithmic innovation and reproducible software delivery.
13 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Computer Engineering, Master of Science - MS, Computer Engineering at Politecnico di MilanoDoctor of Philosophy - PhD, Computational Biology, Doctor of Philosophy - PhD, Computational Biology at Cornell UniversityBiomathematics, Bioinformatics, and Computational Biology, Biomathematics, Bioinformatics, and Computational Biology at Royal Institute of Technology
Github Skills (104)
molecule10
conda-build10
python10
parameterization10
energy10
computational-chemistry10
mcmc10
gpu10
extensible10
genomics10
monte-carlo10
journal10
simulations10
sampling10
molecular-dynamics-simulation10
Programming languages (6)
Github contributions (5)
andrrizzi/tfep
Aug 2021 - Jan 2023
A library to perform targeted free energy perturbation with normalizing flows.
Contributions:1 release, 191 commits, 48 PRs in 1 year 5 months
perturbationflowssnl-applicationsfree-energynormalizing
choderalab/yank-benchmark
Aug 2017 - Jul 2019
Standard experimental accuracy benchmark set for YANK.
Contributions:23 commits, 4 PRs, 15 pushes in 1 year 11 months
benchmarkingmod-managerbenchmarkyankprecision
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