Nathan Wells

Nathan Wells is a Principal Data Scientist at ASML/Cymer, focusing on applying practical machine learning and artificial intelligence solutions to complex problems. They previously held the position of Operation Research Analyst at the Naval Surface Warfare Center and have worked as a statistical professional in various roles, including Engineering Statistician and Business Planning Coordinator. Nathan has an MS in Statistics from San Diego State University and a BS in Mathematics from California State Polytechnic University-Pomona. They are also recognized as a first author of a patent related to the maintenance of modules for light sources in semiconductor photolithography.