Dissertation, defended Spring 2022
Athlete Monitoring Using Explanatory & Intra-Person Methods
Manuscript 1 (in review):
Examining Lower Extremity Overuse Injury Using Wearable Sensors:
A Case Series in Indoor Team-Based Court Sports
Aim:
To evaluate differences in external workload trends of athletes who sustained an overuse injury during sport.
Manuscript 2:
Analysis of Volleyball Athlete Availability Using Longitudinal Structural Equation Modeling
Aim:
To apply longitudinal SEM framework to athlete monitoring data with the goal of better understanding between- and within-person differences.
Manuscript 3 (in review):
Machine Learning and Explanatory Models in Basketball
Aim:
To use machine learning to identify key variables in order to create explanatory models in basketball athlete monitoring data.
Projects
Sports Science with UVA Men's Basketball
I collaborate with the men's basketball team and serve as a sports scientist within the Good Steward's Applied Sports Science Lab. My primary role is to generate and answer questions regarding athlete welfare, health, and performance. Within this role, I do both 'slow' and 'fast' research as there is practical information that needs to be acted on by practitioners and coaches daily, but also big picture data which needs thoughtful analysis for long-term strategies.
