Summary
Haley Dec is an Associate Director in Predictive Risk Intelligence with 11 years of experience applying machine learning, data engineering, and signal-processing expertise to optimize pharmaceutical supply chains and drive business value. Trained as a neuroscientist with a PhD in Neurobiology/Physiology, she blends rigorous experimental methods, time-series analysis, and multivariate statistics with production-grade Python and SQL systems to turn noisy biological and operational data into actionable insights. At Bristol Myers Squibb she progressed from senior manager roles to lead predictive risk initiatives, and previously built high-channel neural-data pipelines and funded, published research while supervising large teams. She’s equally at home theorycrafting as an avid gamer, where she applies the same statistical thinking and model-driven experimentation to improve performance. Based in Seattle, she combines deep domain knowledge in healthcare analytics with practical data-engineering chops and a knack for translating complex models into business impact.
11 years of coding experience
7 years of employment as a software developer
Ph.D., Neurobiology/Physiology, Ph.D., Neurobiology/Physiology at University of Alabama at Birmingham
B.S., Microbiology, B.S., Microbiology at Auburn University