Summary
Erin Bugbee is an applied scientist with a PhD in Cognitive Decision Science from Carnegie Mellon and nine years of experience bridging human decision research and machine learning. She has developed and taught curricula on responsible, generative, and agentic AI at AWS’s Machine Learning University and now builds applied AI education and tools at AWS in Seattle. Her background spans internships at Apple, Microsoft, Disney, and Amazon, plus research applying reinforcement learning and topological data analysis to cognitive and sequential data problems. Erin blends rigorous experimental design and statistical modeling with production-focused ML engineering, and is particularly invested in R programming, gender representation in STEM, and responsible AI practices. An often-overlooked strength is her sustained commitment to teaching—she has been a head TA and course instructor since undergrad, making her equally fluent in explaining complex models to technical and non-technical audiences.
8 years of coding experience
2 years of employment as a software developer
Bachelor of Science (Sc.B.) with Honors, Statistics, Bachelor of Science (Sc.B.) with Honors, Statistics at Brown University
Doctor of Philosophy - PhD, Cognitive Decision Science, Doctor of Philosophy - PhD, Cognitive Decision Science at Carnegie Mellon University
French