Shubham Saini is a statistical genetics scientist with 11 years of computational research and industry experience, currently at 23andMe and pursuing a PhD in Computer Science at UC San Diego. He specializes in Short Tandem Repeat (STR) analysis and developed a full pipeline for multi-allelic GWAS—work that produced a Nature Communications–published STR haplotype reference panel and enables imputation of STRs into SNP datasets. His background spans population admixture studies, HLA/KIR reference panel work at Genentech, and applied computational sustainability projects that delivered measurable energy savings. Equally comfortable in research and production settings, he combines strong software engineering and data-science skills with domain expertise in genomics, and he has a knack for translating complex genetic variation into practical analytic tools.
11 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of California San Diego
Micro-MBA, Micro-MBA at University of California, San Diego - Rady School of Management
Master’s Degree, Computer Science, Master’s Degree, Computer Science at University of California, San Diego
Bachelor’s Degree, Computer Science, 8.89/10, Bachelor’s Degree, Computer Science, 8.89/10 at Vellore Institute of Technology
High School, 92.6%, High School, 92.6% at Mata Jai Kaur Public School, Delhi
Contributions:71 commits, 70 pushes, 1 branch in 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.