Summary
Cody Carroll is an assistant professor at the University of San Francisco with eight years of experience bridging applied statistics and data science through joint appointments in Math & Statistics and the M.S. in Data Science program. He teaches courses from advanced machine learning to communications for analytics while cohosting the USF Data Science Podcast, translating complex methods into intuitive narratives. His research and collaborations are deeply applied—partnering with The Nature Conservancy, the Salk Institute, Stanford Medicine, and past projects with the Gates Foundation and the San Diego Zoo—demonstrating a flair for interdisciplinary impact. A contributor and former maintainer of the R package fdapace, he brings practical functional data expertise to multivariate time dynamics and analytic communication. Based in Deer Lake, Newfoundland and Labrador, Cody combines rigorous PhD training from UC Davis with real-world data science at financial and academic institutions, and a talent for breaking the “language barrier” between statisticians and domain scientists.
8 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy (PhD), Statistics, Doctor of Philosophy (PhD), Statistics at University of California, Davis
Bachelor of Science (BS), Mathematics, Bachelor of Science (BS), Mathematics at The University of Texas at Austin
English, Japanese