Lorenzo Boninsegna
Machine Learning Postdoc at SandboxAQ
Los Angeles, California, United States
Summary
👤
Senior🎓
Top SchoolLorenzo Boninsegna is a computational chemist and machine learning postdoc with nearly a decade of experience building physics-informed and data-driven methods for biomolecular systems and drug discovery. He blends molecular dynamics, statistical mechanics, and ML to create platforms that scale from atomistic models to whole-genome 3D structure prediction, achieving >99% agreement with experimental Hi-C datasets. A PhD-trained theoretician with roots in mathematical physics, he has translated complex methods into reproducible software (see CompChemML on GitHub) and published in high-impact venues like Nature Methods. Awarded UCLA’s Chancellor’s Award and the 2024 J. Pickett Award, he excels at cross-disciplinary collaboration and communicating technical ideas to diverse audiences. Notably, he pairs a soft spot for statistical mechanics with practical generative and ligand-based modeling approaches that bridge theory and applied drug design.
9 years of coding experience
7 years of employment as a software developer
Master's degree Theoretical and Mathematical Physics, Master's degree Theoretical and Mathematical Physics at Università di TrentoDoctor of Philosophy - PhD Chemistry, Doctor of Philosophy - PhD Chemistry at Rice UniversityDiplom Physiker (B.S. + M.S.) Theoretical and Mathematical Physics, Diplom Physiker (B.S. + M.S.) Theoretical and Mathematical Physics at University of Tübingen
Italian, German, English
Github Skills (13)
hidden-markov-model7
markov-model7
pdb-files6
pdb6
emma5
dynamics5
markov5
python5
markov-chain5
api3
machine-learning2
time-series2
bayesian-methods2
Programming languages (1)
Github contributions (5)
alberlab/Lorenzo_trial
Aug 2019 - Mar 2023
trying to figure out if I can push/pull
Contributions:3 PRs, 6 pushes, 1 branch in 3 years 7 months
alberlab/igm
Aug 2019 - Nov 2022
Contributions:115 commits, 122 pushes, 3 comments in 3 years 3 months
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