Christopher Coyne is a talented professional with a Master's Degree in Energy Systems Engineering from the University of Michigan-Dearborn and a Bachelor of Science in Mechanical Engineering from the University of Michigan, Yale University, and the University of New South Wales.

His experience spans various roles at Ford Motor Company, including Core Sealing Engineer, Computational Fluid Dynamics Engineer, HV Battery Systems Benchmarking Engineer, Electronically-Selectable One-Way Clutch (eSOWC) D&R Engineer, Computer Aided Engineering (CAE) Engineer, and Computer Aided Design Engineer.

Christopher has also worked as a Data Analyst at Plymouth Rock Assurance, an R&D Co-op Engineer at Ethicon, Inc., and held research assistant positions at University of Michigan, imec, and Yale University.

His educational background in engineering, coupled with diverse professional experiences, equips Christopher with a unique skill set that enables him to excel in problem-solving, data analysis, and machine learning applications.

In addition to his professional pursuits, Christopher has a passion for music production, photography, home improvement, public speaking, cultivating grit, parenting, and continuous learning.

His interests extend beyond his automotive industry experience to exploring data science applications, particularly in the realm of machine learning.