Summary
Jordan Satler is a Senior Bioinformatics Scientist with a decade of hands-on experience translating large-scale genomic data into evolutionary and ecological insights, now applying that expertise to translational genomics at Nationwide Children's Hospital. Trained with a PhD in Evolutionary Biology, he combines advanced statistical methods (maximum likelihood, Bayesian inference), population genomics, and bespoke Python/R pipelines on HPC to tackle complex questions from demographic history to diagnostic variant discovery. He has led multi-institution collaborations, developed open reproducible tools, and mentored students across wet lab and computational workflows—bridging field-driven curiosity about biodiversity with rigorous computational science. Comfortable from Illumina library prep to machine learning-based model selection, Jordan is particularly drawn to leveraging omics for human betterment, with an eye toward cancer genomics and precision medicine. Collected teaching and course-building experience complements his research, reflecting a knack for making quantitative methods accessible to diverse audiences.
10 years of coding experience
8 years of employment as a software developer
Master of Science - MS, Evolutionary Biology, Master of Science - MS, Evolutionary Biology at San Diego State University
Doctor of Philosophy - PhD, Evolutionary Biology, Doctor of Philosophy - PhD, Evolutionary Biology at The Ohio State University