Summary
Robert Literman is a postdoctoral researcher and hybrid wet-lab/computational biologist with eight years of experience building phylogenomics software and running hands-on molecular and animal work. He develops user-friendly R and Python tools to extract evolutionary histories directly from raw, unassembled NGS data and practices open science through active GitHub collaboration. Trained with a PhD in Ecology and Evolutionary Biology and a BS in Biochemistry, he bridges experimental design and scalable computational pipelines, making legacy lab techniques interoperable with modern bioinformatics. Currently an ORISE fellow collaborating with FDA CFSAN researchers in Warwick, RI, he is motivated to pivot his academic toolkit into applied research or industry roles where reproducibility and practical deployment matter. An understated strength is his knack for adapting “old” tools to novel problems, turning messy data into robust, usable analyses.
8 years of coding experience
Doctor of Philosophy - PhD, Ecology and Evolutionary Biology, Doctor of Philosophy - PhD, Ecology and Evolutionary Biology at Iowa State University
Bachelor of Science - BS, Biochemistry, Bachelor of Science - BS, Biochemistry at SUNY Geneseo