Summary
Xavier Alias is an EMBO- and Humboldt-funded postdoctoral researcher based in Munich who applies systems biology and machine learning to decipher how genotype and perturbations shape phenotypes via mRNA translation. Co-hosted between the Nedialkova and Gagneur labs, he combines rigorous experimental training (proteomics, fluxomics, cell models) with computational method development from a systems-biology MSc and a PhD at CRG. Over eight years of research, he has moved fluidly between wet-lab discovery and quantitative modeling, developing integrative approaches like reaction-by-reaction fitting during his master’s work. He also teaches biochemistry and biostatistics, reflecting a commitment to training and science communication. Notably, his background includes cross-disciplinary internships at top labs (ETH Zurich, Cambridge, Fred Hutch) that seeded his interest in translational regulation and predictive models of disease. Xavier’s work sits at the intersection of predictive genomics and protein synthesis, aiming to deliver tools that improve disease prediction and therapeutic design.
8 years of coding experience
2 years of employment as a software developer
Batxillerat, Sciences, Batxillerat, Sciences at Escola Pia Sitges
Language Academy, English, Cambridge Advanced English, Language Academy, English, Cambridge Advanced English at OK Idiomas
Biology MSc (Major in Systems Biology), Biology MSc (Major in Systems Biology) at Eidgenössische Technische Hochschule Zürich
Bachelor’s Degree, Biochemistry, Bachelor’s Degree, Biochemistry at Universitat de Barcelona
PhD Biomedicine in Centre for Genomic Regulation, Systems Biology, PhD Biomedicine in Centre for Genomic Regulation, Systems Biology at Universitat Pompeu Fabra
Spanish, Catalan, English, German