Aleix Lafita is an Associate Director in computational biology at GSK with 11 years' experience developing machine learning and biophysical methods to model protein sequence and structure for insights into function and disease. His work spans industry and academia—from protein crystallography and molecular dynamics to large-scale genomics and protein modelling—bridging hands-on simulations with production-ready predictive models. Trained at Cambridge and ETH Zurich, he led research on tandem domain repeats at EMBL-EBI and has moved deep computational methods into drug-discovery contexts at GSK. Colleagues describe him as a scientist-engineer who translates detailed structural intuition into scalable algorithms, often uncovering mechanistic signals that standard pipelines miss.
11 years of coding experience
Master’s Degree, Computational Biology and Bioinformatics, Master’s Degree, Computational Biology and Bioinformatics at Eidgenössische Technische Hochschule Zürich
Doctor of Philosophy - PhD, Bioinformatics, Doctor of Philosophy - PhD, Bioinformatics at University of Cambridge
Bachelor’s Degree, Biotechnology, Bachelor’s Degree, Biotechnology at Universitat Autònoma de Barcelona
Contributions:8 commits, 5 PRs, 1 push in 1 year 9 months
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