| Name |
Year |
Topic |
|---|
| PhD |
| Taylor J. McColl |
2025 |
Computational modeling of skeletal muscle protein metabolism and its control |
| Eliran Mizelman |
2024 |
Evaluating physiologically interpretable models of athlete speed-duration data in NCAA men’s soccer players and professional women’s soccer players |
| MSc |
| Kyle Dumont |
2020 |
Development and evaluation of an in vitro model of exercise for studying AMPK signaling dynamics in skeletal muscle |
| Taylor J. McColl |
2018 |
Mathematical modelling of mammalian target of rapamycin following leucine ingestion |
| BSc Honours |
| Moses Jeong |
2024 |
Kinetic modelling of leucine-mediated signalling and protein synthesis in insulin-resistant human skeletal muscle |
| Luke Everard |
2023 |
Kinetic modelling of muscle-fibre-specific mechanotransduction in fatiguing and non-fatiguing isometric resistance exercise |
| Jasdeep Dhanjal |
2020 |
Review of fusion index measurements and common protocols for culturing and differentiating C2C12 cells and validation of fusion index measurements |
| Braeden Charlton |
2019 |
Effectiveness of a Relative Energy Deficiency in Sport and Female Athlete Triad education module |
| Sida (Jack) Zhao |
2018 |
Mathematical modelling of skeletal muscle focal adhesion kinase signalling in response to contraction |
| Ian Coccimiglio |
2015 |
Mathematical modelling of adenine-nucleotide regulation of AMP-activated protein kinase during skeletal muscle contraction |
| Kristina Collins |
2015 |
Investigating a meta-analytic approach to estimate the effect of exercise intensity prescription method on the inter-individual variability in training response |
| Taylor J. McColl |
2015 |
Can the cardiovascular and metabolic adaptations to exercise be independently controlled: a systematic review and meta-analysis |
| David Yuen-Fung Ng |
2014 |
Creating a methodology to quantify the underlying effect of exercise training on the second threshold: a systematic review and meta-analysis |
