I received my PhD from Massey University in July 2015. My PhD research focused on scaling up traditional statistical methods for high-dimensional data using regularised covariance matrices. I came to Queensland University of Technology as a research fellow in November 2015. Prior to this, I worked as a research fellow at the University of Queensland for 6 months. My postdoctoral research activities included robustifying methodologies for analysing longitudinal data, analysing high-dimensional data, identifying differentially expressed genes in high-dimensional genomic data, univariate Behrens-Fisher problem, scale-up of Bayesian models to massive data, anomaly detection in big data, detecting cybersecurity attacks using web browsing activities.
Bayesian methods for big data
High-dimensional data analysis
Robust generalized estimating equations for the analysis of longitudinal data
Beck, K.L.., Jones B.., Ullah I.., McNaughton S.A.., Haslett S.J.., & Stonehouse W..
(2017). Associations between dietary patterns, socio-demographic factors and anthropometric measurements in adult New Zealanders: an analysis of data from the 2008/09 New Zealand Adult Nutrition Survey. European Journal of Nutrition. doi: 10.1007/s00394-017-1421-3
Paul, S., Wang Y-G., & Ullah I..
(2017). A Review of the Behrens-Fisher Problem and Some of Its Analogs: Does the Same Size Fit All?. REVSTAT.