Luisa Santus is a bioinformatics engineer with nine years of experience blending large-scale computational genomics, workflow engineering, and machine learning. Trained at Technical University of Munich and Universitat Pompeu Fabra and currently based in Barcelona, she completed a PhD at the Centre for Genomic Regulation where she built open-source workflows and applied deep learning to comparative genomics. Her work spans research and industry—contributions at Barcelona Supercomputing Center, Lifebit, and a visiting stint at the New York Genome Center focused on federated learning with latent neural ODEs—before joining Seqera to apply scalable bioinformatics pipelines in production. An active open-source maintainer in the nf-core community, she combines rigorous research methods with practical pipeline development and community-driven software practices. Notably, she brings uncommon expertise in marrying federated time-series modelling with reproducible workflow tooling, enabling collaborative analyses across distributed datasets.
9 years of coding experience
3 years of employment as a software developer
Bachelor's degree Bioinformatics, Bachelor's degree Bioinformatics at Technical University of Munich
Master's degree Bioinformatics, Master's degree Bioinformatics at Universitat Pompeu Fabra
Exchange programm Computer Science, Exchange programm Computer Science at City University of Hong Kong
Contributions:502 pushes, 79 branches in 1 year 7 months
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