Summary
Sodbo Sharapov is a senior statistical geneticist based in Milan with over a decade of hands-on experience translating large-scale human genomics and multi-omics data into biological insight. He has led GWAS, eQTL/pQTL, LD score regression, Mendelian randomization and polygenic risk score analyses across biobank-scale datasets and whole-genome sequencing cohorts, and builds reproducible tools and Debian/R packages to support that work. His career spans academic and research institutes—including Human Technopole, HelmholtzZentrum München and Novosibirsk State University—where he combined high-performance computing for gene–gene and gene–environment interaction studies with robust data QC pipelines. A PhD-trained quantitative geneticist with strong bioinformatics roots, he pairs statistical rigor with software engineering to move complex analyses from prototype to production-ready workflows. Notably, he routinely bridges omics layers (transcriptome, proteome, metabolome) to pinpoint causal signals rather than just associations.
10 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD, Quantitative Genetics, Human/Medical Genetics, 5.0 (100%), Doctor of Philosophy - PhD, Quantitative Genetics, Human/Medical Genetics, 5.0 (100%) at Novosibirsk State University (NSU)
graduate, Mathematics, Chemistry, Physics, Biology, 4,95, graduate, Mathematics, Chemistry, Physics, Biology, 4,95 at Specialized Educational Scientific Center of Novosibirsk State Univercity
English, Russian, German