Dr. Paul Wu

Dr. Paul Wu is a Senior Lecturer in QUT’s School of Mathematical Sciences and leads the Sports Systems domain in QUT’s Centre for Data Science (CDS). He is also an industry research fellow in the strategic partnership between the CDS, Australian Institute of Sport (AIS), and Queensland Academy of Sport (QAS). Starting life in aerospace engineering (Artificial Intelligence (AI) for unmanned aircraft), Dr Wu has worked in projects across defence, airports, marine science and sports industries. His research focus is on developing and applying statistical and machine learning models in collaboration with domain experts and end-users to solve complex systems problems. Dr Wu has extensive experience in methods including Bayesian statistics, state space modelling, Dynamic Bayesian Networks, simulation modelling and queuing models.

Some highlight publications:

P. P.-Y. Wu et al., “”Timing anthropogenic stressors to mitigate their impact on marine ecosystem resilience,”” Nature communications, vol. 8, no. 1, p. 1263, 2017.

P. P. Y. Wu, M. Julian Caley, G. A. Kendrick, K. McMahon, and K. Mengersen, “”Dynamic Bayesian network inferencing for non‐homogeneous complex systems,”” Journal of the Royal Statistical Society: Series C (Applied Statistics), vol. 67, no. 2, pp. 417-434, 2018.

Wu, P. P.-Y., Babaei, T., O’Shea, M., Mengersen, K., Drovandi, C., McGibbon, K. E., Pyne, D. B., Mitchell, L. J. G., Osborne, M. A. (2021). Predicting performance in 4 x 200-m freestyle swimming relay events. PloS one, 16(7), p e0254538.

For more information, visit:
https://www.qut.edu.au/about/our-people/academic-profiles/p.wu
https://research.qut.edu.au/qutcds/