Christopher Di Cesare
About Christopher Di Cesare
Christopher Di Cesare is a Senior Associate in Biomechanics at Exponent, specializing in 3D high-speed motion capture and computational modeling of the human musculoskeletal system. With over a decade of experience, he applies advanced data science and machine learning techniques to address complex issues in human movement science.
Work at Exponent
Christopher Di Cesare serves as a Senior Associate in Biomechanics at Exponent, a role he has held since 2021. In this position, he focuses on biomechanics litigation consulting projects, analyzing human body responses to forces during incidents. His work involves determining potential injuries and developing mitigation strategies. He applies his expertise in 3D high-speed motion capture and computational modeling of the human musculoskeletal system to support these projects.
Education and Expertise
Christopher Di Cesare holds a Ph.D. in Computer Science and Engineering from the University of Cincinnati, where he studied from 2015 to 2020. He also earned a Master of Science in Exercise and Health Studies with a focus on Exercise Science from Miami University, completing his studies from 2009 to 2011. His undergraduate education includes a Bachelor of Arts in Zoology from Miami University, achieved from 2005 to 2009. His educational background supports his extensive knowledge in biomechanics and human movement science.
Background
Christopher Di Cesare has over 10 years of experience in research and practical applications related to the prevention, mitigation, and rehabilitation of musculoskeletal injuries. His career includes roles at Cincinnati Children's Hospital Medical Center as a Biomechanist and Clinical Research Coordinator from 2011 to 2020, and as a Research Fellow at the University of Michigan from 2020 to 2021. He has also held adjunct faculty positions at Xavier University, Mount St. Joseph University, and the University of Michigan.
Technical Skills and Contributions
Christopher Di Cesare utilizes advanced data science and machine learning techniques to address complex challenges in human movement science. He develops algorithms, software, and graphical user interfaces (GUIs) using programming languages such as MATLAB, Python, Java, C/C++, and R. His technical skills enhance biomechanics research and applications, contributing to the understanding of human movement and injury prevention.