Shalabh Suman is a lead software engineer in bioinformatics with over a decade of hands-on experience building AI/ML-driven analytics for cancer research at top institutions including Memorial Sloan Kettering Cancer Center and the National Cancer Institute. He has progressed from data scientist roles to technical leadership, delivering production-grade bioinformatics systems that bridge computational biology, applied AI, and software engineering. Known for translating complex genomic and clinical data into actionable pipelines, he balances research rigor with pragmatic engineering to scale reproducible workflows. Based in the New York City area, he combines an MS in Bioinformatics and Computational Biology with institutional expertise across NIH and military research settings. Colleagues describe him as both a deep technical contributor and an effective mentor who brings research-grade methods into clinical and translational environments. Beyond APIs and models, he often focuses on the less obvious but critical areas—data provenance and auditability—that enable trust in AI-driven biomedical decisions.
11 years of coding experience
11 years of employment as a software developer
Master of Science (MS) Bioinformatics and Computational Biology, Master of Science (MS) Bioinformatics and Computational Biology at George Mason University
This is the Second Generation of Genome Derived Diagnosis AI Project
Contributions:4 PRs, 15 pushes, 3 branches in 1 year 10 months
genomederiveddiagnosissecond
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Shalabh Suman - Lead Software Engineer Bioinformatics