Yan Li is an Associate Director of Bioinformatics with a decade of experience building and leading NGS analysis pipelines and cloud-enabled computational workflows at the University of Chicago. He specializes in RNA-Seq, ChIP-Seq, ATAC-Seq and single-cell sequencing analyses, and has a strong track record of automating scalable pipelines and developing interactive visualization tools to accelerate biological insight. His background blends PhD-level expertise in bioinformatics, biostatistics and epidemiology with hands-on work in machine learning and mathematical modeling applied to biomarker discovery and CRISPR analysis. Yan’s work has supported multiple published collaborations and he often pairs production-grade pipeline engineering with RShiny visual analytics to make results accessible to scientists. Based in Chicago, he brings both leadership in core bioinformatics services and a practical habit of translating complex computational methods into reproducible, user-facing tools.
11 years of coding experience
17 years of employment as a software developer
University of Georgia
Master, Plant Pathology, Master, Plant Pathology at Deaprtment of Plant Pathology, UGA
Master, Statistics, 3.8, Master, Statistics, 3.8 at Department of Statistics, UGA
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