Summary
Lauren Hinkle is a Lead Data Scientist with 11 years of experience applying machine learning to noisy, real-world problems across industry and research. She combines a rigorous academic foundation—an M.S. in Intelligent Systems from the University of Michigan and dual BAs in Computer Science and Physics—with hands-on roles at JPMorgan Chase and research positions at Charles River Analytics and several universities. Known for developing practical tools to interpret messy data, she bridges research rigor and production delivery on complex analytics pipelines. Based in Glasgow, she brings a cross-disciplinary perspective informed by physics and quantitative tutoring, which often yields pragmatic, interpretable solutions rather than black-box models.
11 years of coding experience
10 years of employment as a software developer
BA, Computer Science and Physics, BA, Computer Science and Physics at Colorado College
Master of Science (M.S.), Intelligent Systems, Master of Science (M.S.), Intelligent Systems at University of Michigan