Summary
Elizabeth Glenn is a senior data scientist with 11 years of experience blending academic rigor from a PhD in Psychology and postdoctoral neuroscience work with applied experimentation and causal inference in industry. She builds statistical methodology and data pipelines in Python and SQL to drive international retail testing, pricing, and personalization decisions at scale, currently shaping Starbucks' Retail Testing strategy. Her background in behavioral pharmacology and hands-on neurotech (optogenetics, in vivo electrophysiology) gives her a unique edge in modeling complex human behaviors and translating noisy experimental signals into actionable insights. She has led cross-functional teams, delivered multi-million-dollar pricing impact, and built experimentation platforms at fintech and consumer companies. Based in Seattle, she pairs deep domain knowledge in behavioral science with practical engineering for reproducible, stakeholder-facing analytics.
11 years of coding experience
12 years of employment as a software developer
Bachelor of Science (BS), Psychology, Bachelor of Science (BS), Psychology at Appalachian State University
Doctor of Philosophy (Ph.D.), Psychology, Doctor of Philosophy (Ph.D.), Psychology at University of Toronto
Master of Arts (MA), Experimental Psychology, Master of Arts (MA), Experimental Psychology at Wake Forest University
English