Summary
Irepan Salvador-martínez is a computational biologist and AI4S Postdoctoral Fellow with 11 years of experience applying quantitative, multidisciplinary approaches to questions in genetics, evolution, development and single-cell biology. Trained with a PhD in Evolutionary Developmental Biology from the University of Helsinki, he has developed novel spatial gene expression metrics and studied natural selection on Drosophila embryogenesis, combining statistical inference, mathematical modeling and population genomics. At UCL he analyzed CRISPR-Cas9 lineage recorder sequencing and used simulations to optimize experimental design, bridging wet-lab lineage tracing with computational strategy. Now based at the Barcelona Supercomputing Center, he enjoys turning biological problems into algorithms, developing open-source tools, and communicating science across international, interdisciplinary teams. An underappreciated strength is his ability to translate complex experimental constraints into pragmatic computational designs that directly improve experimental throughput and inference.
11 years of coding experience
8 years of employment as a software developer
PhD in Genetics, Evolutionary Developmental Biology, PhD in Genetics, Evolutionary Developmental Biology at University of Helsinki
Biology, Biology at Universidad Autónoma de Nuevo León
Master in Developmental G, Master in Developmental G at Universitat de Barcelona
Spanish, English, German, Catalan