Summary
Manolo Perez is an evolutionary geneticist and bioinformatics researcher with nine years of experience applying Bayesian and Approximate Bayesian (ABC) methods to species delimitation, phylogeography, phylogeny and demographic history of wild species. Based in Madrid, he develops and implements tools that integrate genetic, geographic and ecological data to unravel diversification and speciation mechanisms across taxa. His career spans postdoctoral and research roles at institutions including Muséum national d'Histoire naturelle, Imperial College London and The Ohio State University, and he currently researches at Real Jardín Botánico. Manolo combines strong quantitative skills in Bayesian inference with hands-on field and lab experience from a PhD and postdoctoral training in ecology and systematics. He is particularly adept at translating complex models into practical workflows for conservation-relevant questions, often bridging computational methods and real-world biodiversity datasets.
9 years of coding experience
7 years of employment as a software developer
BsC, Biology/Biological Sciences, General, BsC, Biology/Biological Sciences, General at UFSCar - Universidade Federal de S��o Carlos
Master Degree, Ecology, Evolution, Systematics, and Population Biology, Master Degree, Ecology, Evolution, Systematics, and Population Biology at Universidade Federal de São Carlos - UFSCar Oficial
PhD Student, Ecology, Evolution, Systematics, and Population Biology, PhD Student, Ecology, Evolution, Systematics, and Population Biology at Universidade Federal de São Carlos / UFSCar
PhD Student, Ecology, Evolution, Systematics, and Population Biology, PhD Student, Ecology, Evolution, Systematics, and Population Biology at The Ohio State University