Academic Credentials
  • Ph.D., Mechanical and Aerospace Engineering, University of Virginia, 2024
  • B.S., Biomedical Engineering, University of Virginia, 2017
Professional Honors
  • UVA MAE Outstanding Graduate Leadership and Diversity Award, 2023
  • American Society of Biomechanics President’s Choice Service Award, 2022
  • Virginia Engineering Foundation Fellowship, 2021
  • Sture G. Olsson Fellowship in Engineering, 2020
  • The Raven Society at the University of Virginia, Inducted 2020
Professional Affiliations
  • American Society of Biomechanics (ASB)
    • Executive Board Student Representative (August 2020 to September 2022)
  • Black Biomechanists Association (BBA)
  • International Society of Biomechanics (ISB)
  • Gait and Clinical Movement Analysis Society (GCMAS)
  • American Association of Snowboard Instructors (AASI)

Evan Dooley's expertise is in human motion biomechanics., primarily using He has implemented various techniques including motion capture, force plates, load cells, electromyography (EMG), and oxygen consumption along with human modeling approaches to investigate the influence of devices and the integration of clinical interventions (assistive devices, surgery, rehabilitation) on musculoskeletal movement patterns and performance.with models of human movement, with the aim being to understand and optimize functional outcomes for individuals with musculoskeletal movement pathologies. He has extensive experience conducting biomechanical evaluations on clinical interventions, validating the use of predictive models, and analyzing kinematic and kinetic data to assess complex full-body movements for populations ranging from pathologic and typically developing children to elite athletes.

Evan's experience includes the collection and analysis of biomechanical data using high-speed motion capture, electromyography (EMG), mechanical testing systems (MTS), wearable force- and pressure-measuring sensors, and metabolic measurement systems. He also has broad experience in designing and conducting user studies with diverse demographics,   ranging from including healthy adults,  to competitive athletes to neurologically impaired children with Cerebral Palsy, and collegiate athletes in order to evaluate varied facets of the dynamics of human performance. Additionally, Evan has broad experience developing models of human movement to investigate real-world scenarios, such as how much motion is provided by ankle replacements versus ankle fusions, which surgical method of stabilizing bones in the hand gives the patient the most mobility in their wrist, and how beneficial are knee-support devices to baseball catchers' knees. 

Prior to joining Exponent, Evan was a Graduate Researcher in the Motion Analysis and Motor Performance (MAMP) Lab at the University of Virginia. His research focused on developing a predictive simulation framework to determine the most useful way for a powered posterior walker to apply force to its user to improve the efficiency of their walking, while maintaining the stability benefits of the device.