Summary
Jostein Barry-straume is a PhD candidate in Computer Science at Virginia Tech with 11 years of hands-on experience building data-driven solutions across industry and academia. He combines deep mathematical and statistical rigor—hypothesis testing, stochastic models, time series, and missing-data methods—with practical machine learning engineering on large datasets using Python, R, SAS, SQL, and AWS. His background spans roles from data analyst at Microsoft to production-focused internships at Fortive, where he integrated ML into operational SQL workflows and communicated results to non-technical stakeholders. A published MSDS student (convolutional neural network training-size research) who graduated top of his class, he’s comfortable translating business questions into actionable models and recommendations. Based in Seattle, he pairs strong tool selection and prototype-to-production instincts with a demonstrated willingness to teach and lead cross-functional teams.
11 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS, Economics, Bachelor of Science - BS, Economics at University of Southern California
Applied Mathematics + Computer Science, Applied Mathematics + Computer Science at University of Washington
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Virginia Tech
Master of Science - MS, Data Science - Machine Learning Concentration (Engineering), Master of Science - MS, Data Science - Machine Learning Concentration (Engineering) at Southern Methodist University
English, Norwegian, Spanish