Summary
Alejandro Escobar is a research scientist at Duke University with a decade of experience applying bioinformatics and computational molecular evolution to uncover positive selection in regulatory genomes. He has led methodological improvements that detect selection in open chromatin across humans and chimpanzees and packaged reproducible analyses in a Docker container for testing human accelerated elements. His work spans transcriptome, RNA-seq and single-cell analyses across tissues and species, and he brings hands-on wet-lab expertise from ChIP libraries, cryosectioning, and PCR in non-model organisms. Previously he mapped ancient and recent selection signals in neuroendocrine loci and built genomic resources for prairie voles and singing mice. He mentors students, managed lab biosafety to achieve Green Lab Certification, and holds certifications in geospatial R and NGS bioinformatics. Based in the Raleigh–Durham area, he combines rigorous evolutionary theory with practical, reproducible pipelines that bridge computational and experimental genomics.
10 years of coding experience
8 years of employment as a software developer
PhD, Ecology, Evolution and Behavior, PhD, Ecology, Evolution and Behavior at The University of Texas at Austin
Biologist, Cytogenetics, cell biology, meiosis, Biologist, Cytogenetics, cell biology, meiosis at Universidad de Antioquía
PhD student, Biology, PhD student, Biology at University of Florida
English, Spanish