Summary
Guillermo Torres is a computational biologist with a PhD in bioinformatics and over a decade of hands-on experience translating genomics and transcriptomics data into evolutionary and metabolic insights. Based at the Institute of Clinical Molecular Biology in Kiel, he studies complex traits and metabolic adaptation using comparative genomics, molecular evolution and multi-omics integration. He has a strong track record in metagenomics, genome assembly and functional annotation from prior roles in Colombia, and builds bioinformatics pipelines that blend classical sequence analysis with AI-driven integration of heterogeneous datasets. Comfortable moving between wet-lab data familiarity and scalable computational methods, he excels at turning noisy biological data into testable hypotheses. His work uniquely bridges evolutionary questions and practical bioinformatic tooling, enabling both discovery and reproducible analysis.
11 years of coding experience
10 years of employment as a software developer
Master's degree, Biological Science, Master's degree, Biological Science at Universidad Nacional de Colombia
Doctor of Philosophy (Ph.D.), Bioinformatics, Doctor of Philosophy (Ph.D.), Bioinformatics at Christian-Albrechts-Universität zu Kiel
English, German, Spanish