Summary
Stepan Nersisyan is a computational biologist with 8 years of hands-on experience turning large-scale omics datasets into actionable insights, now working as an Associate Consultant in Research IT & Bioinformatics. He combines advanced programming, statistics, and machine learning to develop bespoke analysis pipelines and methods rather than relying on default tools, and has authored 20 first-author publications. Stepan built scalable tools and web portals (including CorrAdjust, ExhauFS, T-CoV and isomiRTar) and curated >25,000 RNA-seq datasets, demonstrating both software engineering and data stewardship at scale. His work has repeatedly delivered high-impact biomarker discoveries (often >1,000 candidate RNAs) across brain, blood, cancer, and viral studies, and his CorrAdjust method showed a large accuracy gain over competitors. Trained as a PhD in computational biology with MS/BS in applied mathematics, he thrives in cross-disciplinary teams bridging wet lab and computational science.
8 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Applied Mathematics, GPA: 4.0, Master of Science - MS, Applied Mathematics, GPA: 4.0 at Moscow State University
Doctor of Philosophy - PhD, Computational Biology, Doctor of Philosophy - PhD, Computational Biology at Institute of Molecular Biology NAS RA, Armenia