Summary
Benjamin Noland is a statistician and software developer with a decade of experience applying rigorous quantitative methods to real-world problems across academia and startups. He teaches statistics and mathematics at Rutgers and Mercer County Community College while building data systems and web applications—ranging from Shiny-based visualization tools for labor research to React/Node/Mongo full-stack features for an LMS. His work blends applied R time-series and survey analysis with practical engineering: optimizing BigQuery queries for blockchain transaction analytics, prototyping decentralized identity architectures, and automating reproducible reports. Comfortable mentoring engineers and presenting to stakeholders, he moves fluidly between research, production code, and teaching. Based in New Jersey, he brings both theoretical depth from a Rutgers MS in Statistics and hands-on curiosity that surfaces in unusually cross-disciplinary projects.
9 years of coding experience
3 years of employment as a software developer
High school diploma, High school diploma at Princeton High School
Master's degree, Statistics, Master's degree, Statistics at Rutgers University–New Brunswick
Computer Science, Computer Science at Princeton University