Daniel Wilcox
About Daniel Wilcox
Daniel Wilcox is a Senior Engineer at Motional, specializing in nonlinearly constrained optimization and leading a software engineering team focused on machine learning applications. He has a diverse background in engineering and research, with previous roles at Hexagon Manufacturing Intelligence and the University of Michigan.
Work at Motional
Daniel Wilcox has been employed at Motional as a Senior Engineer since 2022. In this role, he leads the Perception-Prediction software engineering team, focusing on machine learning applications. His work involves developing advanced algorithms that enhance the capabilities of autonomous vehicles. His tenure at Motional has contributed to the company's efforts in creating safe and efficient self-driving technology.
Education and Expertise
Daniel Wilcox holds a dual Bachelor's Degree in Computer Science and Physics from Brigham Young University, which he completed from 2002 to 2009. He further pursued his studies at the University of Michigan, where he earned a Doctor of Philosophy (Ph.D.) in Physics from 2009 to 2014. His academic background supports his specialization in nonlinearly constrained optimization and ultrafast optics, areas that require a strong foundation in advanced mathematics and physics.
Background
Before joining Motional, Daniel Wilcox accumulated extensive experience in software engineering and research. He worked at Hexagon Manufacturing Intelligence for six years, serving as a Senior Software Engineer and later as a Software Architect. His earlier career includes a position as a Software Developer at Hexagon Metrology and a role as a Graduate Student Research Assistant at the University of Michigan. His diverse background in engineering and research has equipped him with a comprehensive skill set.
Achievements
Daniel Wilcox is recognized for his strong technical writing skills, which enable him to effectively communicate complex technical concepts. His expertise in geometric dimensioning and tolerancing (GDT) is essential for precision engineering and manufacturing. Additionally, he leads a team that applies machine learning to enhance software capabilities, demonstrating his leadership and innovative approach in the field.