Summary
Jonathan Foox is a Senior Bioinformatics Scientist with a decade of experience applying computational methods to biomedicine, from modeling AML onset in mice to multi-omic profiling of host responses to SARS-CoV-2. He combines strong algorithm development and QC expertise with hands-on scripting in R, Python, and bash to deliver reproducible genomic and epigenomic analyses in both academic and industry settings. Trained as an evolutionary biologist, his PhD work revealed how parasitic Myxozoa underwent extreme genome miniaturization, giving him a rare perspective on genome architecture and comparative genomics. At Tempus and Weill Cornell he has translated that evolutionary insight into practical pipelines and standards for large-scale functional genomics. Based in New York, he bridges curiosity-driven research and production-ready bioinformatics solutions, often tackling contamination, assembly, and annotation challenges for non-model organisms.
10 years of coding experience
5 years of employment as a software developer
Biological Sciences, Evolutionary Biology, Biological Sciences, Evolutionary Biology at The George Washington University
Comparative Biology, Evolutionary Biology, Comparative Biology, Evolutionary Biology at Richard Gilder Graduate School at the American Museum of Natural History
r, python, Hebrew