Yibo Dong is a Database Consultant and Bioinformatics Lead with a decade of experience building pipelines, databases, and machine learning models for genomics and omics data. Currently leading WGS, targeted NGS, and RNA‑seq analytics at the Florida Department of Health, he combines hands‑on pipeline engineering with deployable ML and deep learning approaches for large-scale biological datasets. His background spans academia and government—faculty roles at USF and research positions in agricultural genomics—giving him a rare mix of translational and applied research experience. He has designed web databases and visualization tools to make complex genomic results accessible to researchers and state laboratories, and he routinely provides bioinformatics training and mentorship. Trained in both biology (PhD) and computer science, he brings interdisciplinary rigor that helps turn dense omics data into actionable public‑health and research insights.
10 years of coding experience
5 years of employment as a software developer
Ph.D, Biology, Ph.D, Biology at Chinese Academy of Agricultural Sciences
Master's degree, Data Analytics, Master's degree, Data Analytics at University of Illinois Springfield
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Mississippi State University
A Nextflow pipeline to analyze NGS data in fastq format from bacterial genome
Contributions:2 releases, 32 PRs, 72 pushes in 2 years 2 months
nextflowamrpipelineworkflow
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.