Kathleen Coburn is a quantitative psychologist and data scientist with 11 years of experience bridging academic research and applied teaching. Currently a Lecturer at UC Santa Barbara and a former postdoc with Northwestern’s STEPP Center, she develops and teaches statistics and data science curricula from introductory courses to advanced topics like clustering, SVMs, and deep learning. Her Ph.D. in Quantitative Psychology (UC Merced) and work creating R packages reflect a blend of rigorous methodological expertise and practical tooling for reproducible research. She has a track record of translating complex statistical methods into accessible coursework and workshops for students and researchers, and she brings uncommon experience curating research data across sciences and social sciences.
11 years of coding experience
9 years of employment as a software developer
San José State University
Doctor of Philosophy (Ph.D), Psychological Sciences - Quantitative Psychology, Doctor of Philosophy (Ph.D), Psychological Sciences - Quantitative Psychology at University of California, Merced
Contributions:68 pushes, 1 branch in 1 year 1 month
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