Summary
Charles Danko is an Assistant Professor at Cornell University whose work sits at the intersection of computational biology and molecular genetics. He investigates how DNA sequence encodes gene expression patterns and how these patterns influence evolution, development, and disease, using machine learning and statistical modeling alongside experimental approaches to prepare next-generation sequencing libraries (GRO-seq, RNA-seq). With a PhD in Bioinformatics from SUNY Upstate and a BS in Biomedical Engineering from Johns Hopkins, he brings an interdisciplinary foundation to bioinformatics method development and short-read NGS analysis. Since 2014 he has led research at Cornell, building computational tools to map transcription units and gene regulation. His work emphasizes translating complex regulatory mechanisms into actionable insights for biology and medicine, reflecting a rare blend of theory, computation, and experimental technique. Based in Ithaca, he contributes to a growing ecosystem of genome biology research at Cornell.
13 years of coding experience
6 years of employment as a software developer
Johns Hopkins University
Doctor of Philosophy (Ph.D.), Bioinformatics, Doctor of Philosophy (Ph.D.), Bioinformatics at SUNY Upstate Medical University
French