Summary
William Halsey is an R&D data scientist and engineer with a decade of experience applying machine learning and data-processing pipelines to metal additive manufacturing at Oak Ridge National Laboratory. He bridges research and deployment—building Industry 4.0 solutions for in-situ monitoring, defect detection, process optimization, and end-to-end data management across the AM toolchain. Trained in computer engineering and computer science with an MBA, he pairs technical depth with product-minded rigor to deliver visualization tools and production-ready analytics. His work has involved close collaboration with aerospace and industrial partners and emphasizes automated, real-time defect detection informed by simulation and time-series analysis. Unusually for someone in lab research, he maintains hands-on engineering across modeling, software, and visualization, accelerating transfer from prototype to operational systems.
10 years of coding experience
5 years of employment as a software developer
Bachelor of Science (B.S.), Computer Engineering, GPA 3.69/4.00, Bachelor of Science (B.S.), Computer Engineering, GPA 3.69/4.00 at Clemson University
Master of Business Administration (MBA), Business Administration, Management and Operations, GPA 3.96/4.00, Master of Business Administration (MBA), Business Administration, Management and Operations, GPA 3.96/4.00 at University of Tennessee-Knoxville
English