Chenming Cui is a Bioinformatics Scientist with eight years of experience translating complex NGS datasets—from Illumina to ultra-long Nanopore and PacBio reads—into biological insight at companies and academic labs. He combines deep expertise in transcriptome/genome assembly, alternative splicing, GWAS, comparative phylogenomics and functional network analysis with statistical modeling, machine learning and custom Python/R pipelines. Comfortable deploying tools on HPC clusters and building SQL-backed workflows, he has accelerated assembly and polishing of noisy long reads and created efficient end-to-end pipelines used in diverse projects from pathogen metagenomes to crop phylo-GWAS. Based in Beijing with a PhD in Genomics/Bioinformatics, he pairs rigor from academic research with production-focused development at Foundation Medicine, and—on a lighter note—maintains a playful GitHub persona as “a programmer with a cute cat.”
8 years of coding experience
6 years of employment as a software developer
Master's degree, Biochemistry, Master's degree, Biochemistry at Georgetown University School of Medicine
Doctor of Philosophy - PhD, Genomics/Bioinformatics, 3.9/4.0, Doctor of Philosophy - PhD, Genomics/Bioinformatics, 3.9/4.0 at Virginia Tech
Contributions:19 commits, 14 pushes, 1 branch in 1 year 5 months
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