Summary
Sean Davern is a senior data scientist and engineer with 12+ years of experience applying advanced statistical methods, machine learning, and Agile practices to biotech and national-security projects. He led upstream process development for two major cancer therapeutics at Amgen and architected enterprise-wide data capture, analysis, and visualization tools that achieved voluntary global adoption across >150 scientists. At PNNL he now builds custom object-detection models and automated deployment environments, combining PyTorch, mmDetection and scalable tooling with disciplined dataset engineering. A certified data scientist and inventor with seven patents, Sean blends hands-on coding (Python, VBA, C#, Node.js) and product ownership with a knack for translating laboratory process problems into production-ready data systems. Notably, he has a track record of introducing Agile and statistical design-of-experiment practices into large organizations, saving costs and accelerating reproducible decision-making.
11 years of coding experience
17 years of employment as a software developer
University of Kansas
Chemistry, Chemistry at Washburn University
Selected Biotechnology Courses, Selected Biotechnology Courses at Shoreline Community College