Summary
Clayton Stanley is a Senior Quantitative UX Researcher at Google with 13 years of experience applying computational modeling and statistical methods to behavioral data to inform design and product decisions. He blends a PhD-backed understanding of cognitive psychology with hands-on data engineering skills—R, data.table, GoogleSQL, bash, make, and Tableau—to tackle both messy observational logs and tightly controlled experiments. Previously at Bloomberg he led 100+ quantitative projects, built centralized analytics platforms, and expanded instrumentation to enable self-service analytics for designers and PMs. His early work as a research programmer and at the Air Force Research Laboratory demonstrates deep systems and multi-language engineering chops, including large-scale migrations and volunteer computing platforms. Clayton is comfortable bridging research and engineering to turn complex datasets into actionable insights, and he often focuses on reproducible, production-ready analysis workflows rather than one-off reports. Based in New York, he brings a rare combination of cognitive-science rigor and pragmatic infrastructure experience to improve human–machine systems.
13 years of coding experience
10 years of employment as a software developer
Master of Arts (MA), Cognitive Psychology, Master of Arts (MA), Cognitive Psychology at Rice University
Bachelor of Science (BS), Applied Physics, Distinguished Graduate, Bachelor of Science (BS), Applied Physics, Distinguished Graduate at United States Air Force Academy
Portuguese, English