Research output per year
Research output per year
Personal profile
Biographical Details
I am a Postdoctoral Researcher at the University of New England, with expertise in physical performance, injury risk, and data-driven approaches in applied human sciences. I have recently completed my PhD at Macquarie University, where my research focused on predicting military physical performance and injury risk using machine learning techniques. My academic background includes a Master of Research from Macquarie University and a Master of Exercise Science (Strength and Conditioning) from Edith Cowan University. I hold professional accreditation with the Australian Strength and Conditioning Association (ASCA Level 2) and Exercise and Sports Science Australia (ESSA). My research and teaching are driven by a strong interest in optimising health, performance, and injury prevention across athletic and occupational populations.
Education/Academic qualification
Doctorate
Masters
Masters
Research Interests
- Biomechanics
- Physical performance
- machine learning
- Data analytics
- Injury prevention
- Exercise Scientist
- Strength and conditioning
- exercise prescription
- performance analysis
- Statistics
Approved to Supervise
- Approved PhD/HDR supervisor
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Dive into the research topics where Ayden McCarthy is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
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Injury epidemiology in female youth rugby league: Ankle, head, and knee sites most affected
McCarthy, A. M., Morris, B. A., Ferris, D. E., Birse, S. M. & Crowther, R. G., 29 Jun 2026, (E-pub ahead of print) In: Journal of Science and Medicine in Sport. p. 1-6Research output: Contribution to journal › Article › peer-review
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Nonlinear analysis reveals duration and gradient-dependent disruption of load carriage gait variability during an outdoor 6.72 km time trial in military personnel
Feigel, E. D., McCarthy, A., Fuller, J. T., Rosenblum, L., Lovalekar, M., Ojanen, T., Pihlainen, K., Martin, B. J., Koltun, K. J., Doyle, T. L. A. & Nindl, B. C., 31 Jan 2026, In: Applied Ergonomics. 130, p. 1-9 104639.Research output: Contribution to journal › Article › peer-review
Open Access -
Assessing Agreement in Lower-Body Joint Interlimb Asymmetries in Isometric, Dynamic, and Loaded Conditions
Rosenblum, I. J., Lovalekar, M., Martin, B. J., Feigel, E. D., Mroz, K. H., McCarthy, A. M., Koltun, K. J., Stefl, T. J., Forse, J. N., Doyle, T. L. A. & Nindl, B. C., 18 Dec 2025, (E-pub ahead of print) In: Journal of Strength and Conditioning Research.Research output: Contribution to journal › Article › peer-review
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Predicting Maximal Military Occupational Task Performance from Physical Fitness Tests Using Machine Learning
McCarthy, A., Wills, J. A., Fuller, J. T., Cassidy, S., Nindl, B. C. & Doyle, T. L. A., 30 Sept 2025, In: Medicine & Science in Sports & Exercise. 57, 9, p. 1877-1885Research output: Contribution to journal › Article › peer-review
Open Access2 Citations (Scopus) -
Strength, Jump Height, Landing, and Mobility Metrics Predict High and Low Performers of a Fire and Move Assessment: A Machine Learning Approach
McCarthy, A., Fuller, J. T., Wills, J. A., Cassidy, S., Lovalekar, M., Nindl, B. C. & Doyle, T. L. A., 31 Dec 2025, In: Medicine and Science in Sports and Exercise. 57, 12, p. 2754-2763Research output: Contribution to journal › Article › peer-review
Open Access
Projects
- 1 Active
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Optimising load carriage performance and reducing injury risk in military personnel across undulating terrain.
McCarthy, A. (UNE Lead Investigator), Crowther, R. (Co-Investigator), Nindl, B. (Overseas Investigator), Doyle, T. (Co-Investigator), Wills, J. (Co-Investigator) & Feigel, E. (Overseas Investigator)
1/01/26 → 31/12/26
Project: Grant