Summary
Yinan Zheng is a senior manager and biostatistician who bridges statistical innovation, multi-omics integration, and translational biomarker discovery across academic and industry settings. With 12 years of experience and a PhD from Northwestern, she has led integrative analyses of WGS, methylation, RNA-seq, proteomics, and metabolomics in large cohorts (TOPMed, TCGA, UK Biobank) to validate biomarkers for cancer early detection and prognosis. She develops reproducible R/Bioconductor tools (HIMA, REMP, PathwayVote) used by over 100 labs and applies advanced methods—causal inference, high-dimensional mediation, Bayesian modeling, and graph neural networks—to uncover mechanisms and improve prediction. Her work spans multi-site collaborations in the U.S. and West Africa, reflecting a commitment to diversity in genomic research and translational impact. Now splitting roles between AbbVie and Northwestern, she combines hands-on methodological development with study design and clinical partnership to move biomarkers toward real-world utility.
12 years of coding experience
7 years of employment as a software developer
Bachelor's degree Biostatistics, Bachelor's degree Biostatistics at Southern Medical University
Doctor of Philosophy (PhD) Biomedical Informatics, Doctor of Philosophy (PhD) Biomedical Informatics at Northwestern University
Chinese, English, Japanese