Bruno Trentini
Bruno Trentini
Department of Computer Science,
Robert Hooke Building
Directions Postal Address
Interests
Geometric Deep Learning, Graph Neural Networks, Bayesian Inference, Molecular Dynamics and Design
Biography
Bruno Trentini is a PhD candidate in Computer Science at the University of Oxford, with an MSc in Data Science and Machine Learning from University College London. With over a decade of experience across startups and major tech companies, his earlier research focused on graph representation and Bayesian learning. Previously, Bruno led Life Sciences Research Alliances at NVIDIA as a Developer Relations Manager and now continues his work there as an Applied Research Scientist.
Selected Publications
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Improving Inverse Folding for Peptide Design with Diversity−Regularized Direct Preference Optimization
Ryan Park Darren J. Hsu Chen Tessler Maria Korshunova C. Brian Roland Shie Mannor Olivia Viessmann Bruno Trentini
2024.
Details about Improving Inverse Folding for Peptide Design with Diversity−Regularized Direct Preference Optimization | BibTeX data for Improving Inverse Folding for Peptide Design with Diversity−Regularized Direct Preference Optimization
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ML for Life and Material Science: From Theory to Industry Applications (ICML 2024 Workshop)
Aviv Regev Andrea Volkamer Bruno Trentini Cecilia Clementi Charles Harris Charlotte Deane Christian Dallago Ellen D Zhong Francesca Grisoni Jinwoo Leem Kevin K Yang Marwin Segler Michael Martin Pieler Nicholas James Sofroniew Olivia Viessmann Peter K Koo Pranam Chatterjee Puck Van Gerwen Rebecca K. Lindsay Umberto Lupo Ying Wai Li
In ICML Workshops. 2024.
Details about ML for Life and Material Science: From Theory to Industry Applications (ICML 2024 Workshop) | BibTeX data for ML for Life and Material Science: From Theory to Industry Applications (ICML 2024 Workshop)