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His current research focuses on implications of region-specific hypertrophy for athletic performance, as well as the acute effects of in-session resistance exercise order (acute neuromuscular fatigue, potentiation or maintenance of acute kinetics/kinematics). In collaboration with Sacred Heart University’s engineering department, he also is exploring alterations in jump performance and associations with sport-specific performance. This research will include short-term studies and the application of machine learning and computer vision to explain performance outcomes.

His research focuses primarily on dietary supplements and aerobic performance. His recent explorations include studying how dark chocolate enhances running economy and how caffeine consumption affects softball pitching performance. Additional work includes novel methods of loading the bench press during exercise to examine acute performance variables in trained individuals.

He conducts clinical running gait analyses that explore connections between musculoskeletal (MSK) screening tests (e.g., forward step-down test) and running kinematics. Central to this approach is the hypothesis that underlying skeletal or muscular performance can help explain biomechanical patterns that may increase a runner's risk of injury. Additionally, it is theorized that improving performance on MSK screenings could lead to corresponding changes in running biomechanics. Currently, scientific evidence that directly links MSK screening results to running technique or demonstrates that improvements in MSK performance can lead to biomechanical changes is limited. His current research is focused on investigating these causal relationships to enhance the effectiveness of clinical running gait analyses.

His primary research focuses on conducting acute and chronic loading paradigm studies to assess accentuated loading and its implications for strength, power and hypertrophy. Another line of his research will focus on machine-boosted flywheel training and its effects on strength, power and hypertrophy. This will be accomplished through short-term study of healthy individuals. Over the next two years, he intends to conduct multiple weightlifting studies. The first research project will revolve around computer vision and tracking of weightlifting performance.