Vivaswat Shastry is a computational data scientist and postdoctoral fellow with roughly six years of hands-on experience analyzing genomic NGS and WGS datasets and a total of nine years in research and engineering roles. He specializes in building scalable data pipelines and robust software packages that turn noisy biological signals into reproducible insights, with a particular focus on population genetics and computational biology. Skilled in applying machine learning to enhance interpretation and discovery, he bridges method development and production-ready tooling. Based in Chicago and completing a PhD at the University of Chicago in 2025, he is actively transitioning to industry roles where his academic rigor and engineering discipline can accelerate translational projects. Notably, his background spans end-to-end workflow design—data ingestion through inference—which helps teams move novel genomic analyses from prototype to scale.
9 years of coding experience
Master of Science - MS, Master of Science - MS at University of Wyoming
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at University of Chicago
Contributions:105 pushes, 1 branch in 3 years 10 months
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.