Summary
Canyon Foot is a data scientist and research-oriented statistician with eight years of analytic experience and a BA in Mathematics and Statistics from Reed College. Skilled in R-based statistical programming, visualization, and machine learning, Canyon has applied causal inference and privacy-focused modeling across academia, healthcare, and finance, including roles at Two Sigma and an investment firm. They bridge pure and applied research, translating complex methods into reproducible analyses for policy, clinical research, and trading teams. Notably, Canyon’s background spans hands-on public-sector analytics and post-baccalaureate election research, giving them a rare mix of domain breadth and methodological rigor. Based in New York, they thrive on building transparent, well-documented workflows that make sophisticated statistical insights accessible to stakeholders.
8 years of coding experience
5 years of employment as a software developer
Bachelor of Arts - BA, Mathematics and Statistics, Bachelor of Arts - BA, Mathematics and Statistics at Reed College