I am interested in understanding the factors that underlie knee injuries in athletic
populations. Using clustering techniques, my research aims to identify groups of
individuals who display movement strategies consistent with knee injury during a drop-
jump task and the underlying influences. It has been suggested that athletes may adopt
“at risk” movement strategies to either maximize athletic performance or accommodate
muscular capacity. My work seeks to better understand the merits of the “performance-
injury conflict” with the overarching goal of advancing screening/training methods to
mitigate knee injuries in athletes.
Contact
Email: stanleye@usc.edu
Office: Center for Health Professionals (CHP), G9
Education
- Louisiana State University, Master of Science, Kinesiology
- Louisiana State University, Bachelor of Science, Biological Engineering
Publications
- Bender R, McCarthy M, Smith S, et al. Human Adipose-Derived Cells in Two- and Three-Dimensional Cultures: Functional Validation of an In Vitro Fat Construct. Stem Cells Int. 2020
- Bukowska J, Frazier T, Smith S, et al. Bone Marrow Adipocyte Developmental Origin and Biology. Curr Osteoporos Rep. 2018
Abstracts
- Smith S, Powers C, Schweighofer N, Sigward S. Characterizing Landing Strategies During a Drop Jump: Application of K-means Clustering to Establish ACL Injury Risk. Poster presentation at American Society of Biomechanics – ASB; Madison Wisconsin. August 2024