Summary
Carlos Sarabia is an evolutionary geneticist and postdoctoral researcher with ~10 years of experience applying bioinformatics, simulations and wet-lab palaeogenetic techniques to study admixture, selection, demographic change and deleterious variation in wild populations. He combines hands-on aDNA and low-quality/noninvasive DNA extraction and NGS wet-lab optimization with in silico pipelines and custom scripts to detect fixed variants and genes under selection in highly admixed contexts. His recent work leverages machine-learning frameworks and ancestry-aware summary statistics to map selection and introgression across time in populations adapted to extreme environments. Having held posts at institutions including Brown, Princeton, Copenhagen and the Max Planck Institute, he brings a strong comparative canid genomics background from his PhD on the African wolf. Based in Barcelona, he blends deep methodological breadth—wet lab, computational, and simulation—to tackle questions that span palaeogenomics to contemporary population genomics.
10 years of coding experience
3 years of employment as a software developer
University of Seville
MSc in Sciences of Archaeology, Paleogenetics and Paleoanthropology, MSc in Sciences of Archaeology, Paleogenetics and Paleoanthropology at University of Tübingen
Licenciatura en Biotecnología, Biotechnology, Licenciatura en Biotecnología, Biotechnology at Universidad Pablo de Olavide
Spanish, English, German, Italian, French