Summary
Jonathan Abebe is a Bioinformatics Scientist with a PhD in Biomathematics/Bioinformatics and eight-plus years applying Python to next-generation sequencing, virology, and clinical informatics problems. At Envisagenics he focuses on productionizing RNA-seq tools and migrating codebases to cloud-native architectures using software engineering best practices. His doctoral work at NYU produced two published Python toolkits for probing eukaryotic and viral genomic and epigenomic questions, reflecting a strong blend of research rigor and practical tooling. Jonathan is actively exploring performance-driven rewrites—refactoring Python/Pandas workflows toward Rust, Polars, and PySpark—to scale analysis of public NGS and Nanopore datasets for RNA modification studies. Based in Denver, he pairs deep computational genomics experience with an unusual knack for turning research prototypes into maintainable, production-ready software.
8 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD, Biomathematics, Bioinformatics, and Computational Biology, Doctor of Philosophy - PhD, Biomathematics, Bioinformatics, and Computational Biology at NYU Grossman School of Medicine
University of California, Irvine