Overview of role
Eben is a Senior Lecturer in Data Science, and the unit set coordinator for Data Science in the School of Science. He also co-leads the Mathematical Applications and Data Analytics (MADA) research group.
Current Teaching
- MAT2440 Time Series Forecasting
- MAT3110 Applied Multivariate Statistics
- RES5115 Research Preparation: Principles and Approaches
- MAT6100 Time Series Forecasting
Background
Dr. Ebenezer Afrifa-Yamoah is a statistical data scientist who provides broad consultation on multidisciplinary research projects. He develops innovative statistical methods for analysing complex, high-dimensional data sets, particularly in medical and environmental sciences. His research integrates advanced techniques in high-dimensional data analysis, machine learning, causal inference, spatiotemporal modeling, and psychometrics to address multidisciplinary challenges.
Professional Memberships
- 2021 - Statistical Society of Australia (SSA), Member
- 2019 - Computational and Methodological Statistics, Member
- 2019 - Statistical Modelling Society, Member
Awards and Recognition
- 2025 – Finalist, Premier’s Science Awards (Early Career Scientist of the Year), Western Australian Government, Western Australia
- 2025 - Nominee, VC Awards for Research Excellence (Early Career Researcher) Edith Cowan University, Perth, Australia.
- 2024 - Nominee, VC Awards for Research Excellence (Early Career Researcher) Edith Cowan University, Perth, Australia.
- 2017 – Western Australia Department of Fisheries Research Agreement Scholarship, Edith Cowan University, Perth, Australia.
- 2014 – Quota Scheme Scholarship, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
Research Areas and Interests
- Statistics
- Spatiotemporal modelling
- Time Series forecasting
- Statistical modelling – both frequentist & Bayesian paradigms
- Machine learning
- Multidisciplinary
- Spatial statistics