Sílvia Osuna received her PhD in 2010 from the University of Girona (UdG) at the Institut de Química Computacional (IQC). In 2010, she moved to the group of Prof. Houk at the University of California, Los Angeles (UCLA). Since then, Sílvia has worked in computational design of enzymes of medical and pharmaceutical interest. Sílvia has more than 100 research publications, and been recently awarded the 2023 Premio Nacional de Investigación - María Teresa Toral award, 2023 Societat Catalana de Química - talent jove award, 2021 EuChemS lecture award, the Catalan National Research Award – Young Talent 2019 from Fundació Catalana de Recerca i Innovació (FCRi), among others. Her group is currently funded by the European Research Council project - Consolidator Grant (ERC-2022-CoG-101088032), ERC- Proof of Concepts (ERC-2022-POC-101112805, ERC-2023-101158166), and two I+D Spanish MINECO project (PID2021-129034NB-I00, PDC2022-133950-I00).

Sílvia’s research lies at the interface between computational chemistry and biology. Her research focuses on the study of biochemical processes mainly related to enzyme catalysis. Her lab is developing new computational tools for predicting which amino acid changes are required to the enzyme structure for allowing novel function, enhancing a promiscuous side reaction, or expanding its substrate scope. Her goal is to enable the routine computational design of proficient enzymes to boost their use in industry for the synthesis of pharmaceutically relevant targets and also for their application to combat diseases. She also applies the developed methodologies to the study of the recognition and assembly process of biomolecules with carbon-based materials.