Modelos que aprenden el lenguaje de las moléculas y cómo utilizarlos para predecir sus propiedades
Published:
Keynote talk discussing pre-trained language models and their application in modelling for biomedicine and drug discovery.
Talks and presentations
See a map of all the places I've given a talk!
Keynote
Talk
How to generalize machine learning models to both canonical and non-canonical peptides
Published:
Talk discussing our work automating Machine Learning models for natural and synthetic peptide property prediction, with the aim of accelerating peptide/peptidomimetic drug development
AutoPeptideML2: An open-source library for democratising machine learning for peptide bioactivity prediction.
Published:
Talk discussing the latest update to the AutoPeptideML library. Presentation given to the Student Council Symposium (SCS) and the Bioinformatics Open Source Conference (BOSC) as part of ISMB 2025.
AutoPeptideML: automated machine learning for building peptide bioactivity predictors leveraging protein language models
Published:
Talk introducing the AutoPeptideML library.
Poster
A new framework for evaluating model out-of-distribution generalization for the biochemical domain
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