Summary
Brianne Sutton is a software engineer and neuroscientist with nine years of experience applying machine learning, multivariate statistics, and neuroimaging tools to healthcare and biomedical problems. She has bridged research and product roles at institutions and companies including University of Colorado Anschutz, Flywheel.io, and Denver Health, translating complex neurodevelopmental data into actionable workflows and consultative solutions. Proficient in Python, MATLAB, SQL, shell scripting, and a range of statistical packages (R, SPSS, JMP, SPM), she moves smoothly between code, analysis, and domain interpretation. Her PhD in Translational Neuroscience underpins a practical focus on making “impossible” analyses accessible—illustrated by a public-facing blog that translates neurodevelopmental research for non-specialists. Comfortable in both research labs and engineering teams, she combines curiosity-driven pattern-finding with a talent for clear communication and product-minded delivery. Based in Aurora, Colorado, she pairs technical rigor with a longtime interest in education and UX, reflected in past curriculum and teaching roles.
9 years of coding experience
16 years of employment as a software developer
PhD, Medicine - Translational Neuroscience, PhD, Medicine - Translational Neuroscience at Wayne State University, School of Medicine
B.S., Natural Sciences - Chemistry Education, B.S., Natural Sciences - Chemistry Education at Colorado State University