I am an engineer turned statistician who gets to work on exciting projects across many disciplines with really cool people. Last year, I was awarded a visiting fellow scholarship to ECU.
Some of the work I am currently involved in include:
Predicting and understanding ecological windows to minimise the impact of human activities on marine ecosystems such as seagrass. An array of methods including non-homogeneous state space models (DBNs), Bayesian multilevel models and other methods such as functional PCA are developed for this. This work is also being used to inform activities such as the Great Barrier Reef integrated monitoring program. It involves a broad collaboration with AIMS, WAMSI, ECU, UWA, JCU, regulators in Qld and WA, and international collaborators.
Benchmarking of social services to support managers and policy makers in improving performance.
A program of research in sports including predictive modelling of fatigue using PCA and the countermovement jump, analysis of posture control, and addressing the challenges of longitudinal data with wearable technologies. This is a collaboration with the AIS.
Predicting and supporting the management of queues and passenger flows in airports through development of inhomogeneous queuing models and Approximate Bayesian Computation. This is a linkage project with Brisbane Airport, Gold Coast Airport, Border Force and ISS.
Healthy waterways project, supporting the design of policy and advice for safe use of public swim sites such as beaches, estuaries and lakes. This is for city councils in the region south-east Queensland region.
Bayesian statistical modelling
Dynamic Bayesian Networks
multi-criteria decision making
Non-homogeneous state space models
search and optimisation algorithms
PhD, Avionics, Queensland University of Technology
Prizes, awards and special recognition
Vice Chancellor's Performance Award was awarded to Paul Wu. Awarded from the QUT.
Invited talks, refereed proceedings and other conference outputs
Ebert, A., Wu P., Mengersen KL., & Ruggeri F.
(2018). A Review of Distances on Functional Datasets for Likelihood-Free Inference. Joint International Society for Clinical Biostatistics and Australian Statistical Conference 2018.