Tom Bryan is a Senior Software Engineer at Keystone Strategy, where they focus on efficient machine learning for social science applications. They previously worked as a Data Science Fellow at Harvard University, assisting in the course "Unleashing Novel Data at Scale." Tom has also held research positions at Brigham Young University, where they engineered algorithms for historical data analysis and created tools for record linking. Additionally, Tom gained experience as a software development intern at Graphic Products and Sandia National Laboratories, contributing to testing processes and computational modeling software, respectively. Tom holds a Bachelor of Science in Applied Mathematics from Brigham Young University.
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