Funding Optimization Project

A professor, mechanical engineer and kinesiologist working with clinicians to develop novel and intelligent healthcare tools to detect, diagnose and treat gait impairments in children with autism.

Victoria Chester, PhD

Dr. Chester’s current research aims to develop novel and intelligent healthcare tools to detect, diagnose and treat autism spectrum disorder gait impairments using personalized data. High quality data and machine learning algorithms can be a continuous source of data-driven learning to optimize patient quality of life, biomedical research and public health.

Dr. Chester received a Ph.D. in Mechanical Engineering from the University of New Brunswick in 2004, and also holds an undergraduate degree in Human Kinetics from the University of Guelph and a Master’s degree in Biomechanics from Laurentian University.

Current research projects include:

  • Typical and clinical lower and upper extremity mechanics across the lifespan;
  • Improved mechanical models of the foot and ankle;
  • Assessment/development of treatment, rehabilitative and preventative strategies for improving mobility & QoL;
  • Development of wearable sensors for assessing mobility;
  • Classification of gait using machine learning tools.
Research projects with impact:
Photo of Dr. Victoria Chester in her research center

Personalized medicine using AI techniques provides an innovative approach to establishing optimal treatment programs specifically tailored to the unique characteristics of the individual.

Early diagnosis and treatment of gait disorders in neurodevelopmental disorders will lead to improved function and quality of life for children, and reduced chronic conditions later on when they’re adults.