Lorenzo Boninsegna
Machine Learning Postdoc @SandboxAQ
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WORK HISTORY
Machine Learning Postdoc @SandboxAQ
EDUCATION
Rice University
Doctor of Philosophy - PhD
University of Tübingen
Diplom Physiker (B.S. + M.S.)
Università degli Studi di Trento
Master's degree
Università degli Studi di Trento
Bachelor's degree
ABOUT LORENZO BONINSEGNA
Computational chemist with 10+ years of experience developing physics- and ML-based methods to study biomolecular systems. Skilled in molecular dynamics, physics-based modeling, machine learning, and cross-disciplinary collaboration at the interface of chemistry, physics, and computer science.Currently building an independent Computational Chemistry & Machine Learning Portfolio (see Featured, https://github.com/bonimba87/CompChemML), showcasing projects across ligand- and structure-based modeling and generative de novo molecular design, which bridge data-driven and physics-based approaches used in drug discovery. Recipient of the 2022 UCLA Chancellor’s Award for Postdoctoral Research and the 2024 J. Pickett Award for Postdoctoral Research, recognizing research excellence.I bring a combined background in computational chemistry, applied ML, and physics-based modeling to tackle complex challenges in drug discovery and beyond.
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