My research examines social-cognitive factors that influence and are influenced by participation in physical activity. Current interests include self-perceptions such as self-efficacy, perceived control, self-regulation, and self-determination. I also investigate people’s perceptions about influential others who interact with them (proxy agents) in their pursuit of behavioural objectives. Understanding relationships between these perceptions and behaviour involves laboratory and field-based research. Challenges faced by people navigating life transitions such as moving away from home to attend college or university, rehabilitating from illness, and becoming a parent are of particular interest.

My research examines social-cognitive factors that influence and are influenced by participation in physical activity. Current interests include self-perceptions such as self-efficacy, perceived control, self-regulation, and self-determination. I also investigate people’s perceptions about influential others who interact with them (proxy agents) in their pursuit of behavioural objectives. Understanding relationships between these perceptions and behaviour involves laboratory and field-based research. Challenges faced by people navigating life transitions such as moving away from home to attend college or university, rehabilitating from illness, and becoming a parent are of particular interest.

My basic interest is determining in how the body works combining mechanics and control, and consequently, how it gets injured. My research aims to determine the mechanisms of work-related musculoskeletal disorders of the upper extremity from the fingers to the shoulder (and occasionally some other parts). These disorders tend to occur over a long period of time through complex pathways. By developing a solid link between control and mechanics, we can define the mechanisms of disorders such that they can be better rehabilitated and, ultimately, prevented. We examine disorders of muscle tissue (e.g. myalgia), connective tissue (e.g. tendinitis, epicondylitis), and peripheral nerve (e.g. carpal tunnel syndrome). To reach these research objectives, we use both basic (laboratory) and applied (laboratory and field) studies. My research tools include ultrasound, MRI, tissue measurement, computer modeling, electromyography (surface and fine wire EMG), various dynamometers, data trackers, and motion analysis.

My basic interest is determining in how the body works combining mechanics and control, and consequently, how it gets injured. My research aims to determine the mechanisms of work-related musculoskeletal disorders of the upper extremity from the fingers to the shoulder (and occasionally some other parts). These disorders tend to occur over a long period of time through complex pathways. By developing a solid link between control and mechanics, we can define the mechanisms of disorders such that they can be better rehabilitated and, ultimately, prevented. We examine disorders of muscle tissue (e.g. myalgia), connective tissue (e.g. tendinitis, epicondylitis), and peripheral nerve (e.g. carpal tunnel syndrome). To reach these research objectives, we use both basic (laboratory) and applied (laboratory and field) studies. My research tools include ultrasound, MRI, tissue measurement, computer modeling, electromyography (surface and fine wire EMG), various dynamometers, data trackers, and motion analysis.

My research is aimed at making biomechanics and human movement analyses more accessible and real-world relevant. Specifically, this work focuses on the use of wearable inertial sensors to help track and treat musculoskeletal disorders or injuries. When we think of wearable sensors, we often think of fitness tracking watches, but in fact wearable sensors have the capabilities to collect a variety of detailed human movement data similar to conventional motion capture gait laboratories. Further, when we combine these devices with innovative analyses (e.g., machine learning algorithms) and visualization techniques, a whole new world of possibilities for assessing human movement is realized. To this point, my research has used these accessible devices and innovative techniques to uncover patterns in human movement that can help us better understand the progression and treatment of individuals with knee osteoarthritis and running injuries.Interesting in joining the lab? Please submit your information here

My research is aimed at making biomechanics and human movement analyses more accessible and real-world relevant. Specifically, this work focuses on the use of wearable inertial sensors to help track and treat musculoskeletal disorders or injuries. When we think of wearable sensors, we often think of fitness tracking watches, but in fact wearable sensors have the capabilities to collect a variety of detailed human movement data similar to conventional motion capture gait laboratories. Further, when we combine these devices with innovative analyses (e.g., machine learning algorithms) and visualization techniques, a whole new world of possibilities for assessing human movement is realized. To this point, my research has used these accessible devices and innovative techniques to uncover patterns in human movement that can help us better understand the progression and treatment of individuals with knee osteoarthritis and running injuries.Interesting in joining the lab? Please submit your information here