Steve Broll is a PhD candidate in Statistics and biostatistics postdoc at Cornell University with nine years of experience applying statistical methods to health data. He develops reproducible tools—authoring an R package and Shiny app for Continuous Glucose Monitor analysis—and translates research into usable visualizations for clinicians and researchers. His background includes hands-on data processing with Python and Excel, peer mentoring, and teaching introductory R, reflecting both technical depth and a commitment to training others. Based in San Antonio, he blends academic rigor with practical product-minded development, often focusing on user-friendly interfaces for complex analyses. An underappreciated strength is his consistent track record of turning research projects into polished, shareable software that accelerates uptake in applied settings.
9 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Statistics, Doctor of Philosophy - PhD, Statistics at Cornell University
Bachelor of Science, Statistics, Magna Cum Laude, Bachelor of Science, Statistics, Magna Cum Laude at Texas A&M University
R package for Interpreting GLUcose data from CGMs (Continuous Glucose Monitors)
Contributions:8 PRs, 13 pushes in 20 days
monitorsr-packagecontinuousglucose
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.