PhD Students Advance Cutting-Edge Exercise Physiology Research

The Digital Athlete Lab continues its strong tradition of graduate student mentorship through ongoing collaborations with two exceptional PhD students pursuing innovative research in exercise physiology and performance analysis.

Current PhD Student Collaborations

Keenan McDougal - Faculty of Kinesiology (2021-Present)

Research Focus: “Alterations in fatigue, efficiency, and pedaling mechanics during incremental and constant-load high-intensity cycling”

Keenan’s doctoral research examines the complex interactions between physiological fatigue and biomechanical efficiency during high-intensity cycling performance. This work contributes fundamental insights into the mechanisms underlying performance decrements in competitive cycling and has applications for training optimization and performance prediction.

Previous Recognition: Keenan served as a CURE Coach for the innovative KNES 375 laboratory redesign project, demonstrating leadership in both research and educational innovation.

Jim Griffiths - Faculty of Kinesiology (2019-Present)

Research Focus: “Heart Rate Novel Methods of Detection”

Jim’s research develops advanced computational approaches to heart rate analysis, exploring novel signal processing techniques and physiological applications. This work sits at the intersection of exercise physiology, biomedical engineering, and data science—perfectly aligned with the Digital Athlete Lab’s computational biology expertise.

Research Mentorship Model

As a committee member for both students, Dr. Holash provides specialized expertise in:

• Computational modeling and data analysis
• Muscle physiology and performance mechanisms
• Research methodology and experimental design
• Integration of technology with physiological research

Collaborative Impact

These ongoing collaborations exemplify the lab’s commitment to interdisciplinary research that bridges fundamental physiology with practical applications. Both projects utilize advanced data analysis techniques and computational approaches that align with the Digital Athlete Lab’s core competencies in muscle physiology and computational biology.

The long-term nature of these collaborations (4+ years) demonstrates the sustained mentorship relationships that characterize the lab’s approach to graduate student development and research excellence.