Master Thesis at University of North Carolina at Chapel Hill
Raleigh-Durham-Chapel Hill Area United States
Join Prog.AI to see contacts
Join Prog.AI to see contacts
Summary
👤
Senior
🎓
Top School
Christopher Oswald is a social science researcher and data-driven methodologist with nine years of experience applying advanced statistical and machine learning techniques to educational psychology. Currently pursuing a master's thesis at UNC Chapel Hill, he focuses on stabilizing protocol analyses of think-aloud data to resolve multicollinearity issues that have muddled a decade of self-regulated learning research. He has led analyses published in top journals and presented MOOC retention and hypermedia learning findings using GLMs and survival analysis. Comfortable programming "for the love of the game," he blends rigorous quantitative training with practical data engineering to turn noisy behavioral datasets into reproducible, theory-aligned insights.
9 years of coding experience
6 years of employment as a software developer
Bachelor's degree, Psychology, 3.6, Bachelor's degree, Psychology, 3.6 at Western Connecticut State University
Master's degree, Educational Psychology, Measurement and Evaluation, Master's degree, Educational Psychology, Measurement and Evaluation at University of North Carolina at Chapel Hill
Contributions:40 pushes, 6 branches in 4 years 9 months
runeliteplugin
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.