Summary
Patrick Louden is a Manager of Data Science with 13 years of experience who blends a deep academic background in physical chemistry and computational molecular dynamics with practical expertise in building production ML systems. At Domino’s he leads teams that deploy low-latency, scalable model APIs and CI/CD pipelines for real-time feature engineering and automated model monitoring, while mentoring data scientists in both technical and business-facing skills. His Ph.D. work as lead developer of the open-source OpenMD molecular dynamics engine reflects strong C++/Python engineering chops and a knack for turning complex scientific problems into reusable software. Based in Ann Arbor, he excels at translating rigorous statistical and mathematical thinking into measurable business outcomes, and his background suggests an uncommon fluency in both experimental science and production ML infrastructure.
13 years of coding experience
5 years of employment as a software developer
Bachelor of Science (B.S.), Chemistry, Bachelor of Science (B.S.), Chemistry at Grand Valley State University
Doctor of Philosophy (Ph.D.), Chemistry, Doctor of Philosophy (Ph.D.), Chemistry at University of Notre Dame