Vincenzo Ferrero received his Ph.D. in from the School of Mechanical, Industrial, and Manufacturing Engineering at Oregon State University. Currently, he is a researcher at the National Institute of Standards and Technology (NIST). His research addresses strategies toward data-driven product design, applied data knowledge synthesis, and data-driven fulfillment of Design-for-X objectives. His research aims to enhance design and manufacturing approaches with machine learning and data mining methods, with a particular interest in bridging Digital Twins and Circular Economy concepts. His background in data knowledge navigation, life cycle engineering, and machine learning has motivated collaborations across topics including data-driven CAD, assembly-function knowledge graphs and algorithms, automated functional modeling, and sustainable design tool development.