Dr Gentry White
Faculty of Science,
School of Mathematical Sciences
Biography
Dr White is a Senior Lecturer at the Queensland University of Technology Mathematical Sciences School and a Associate Investigator in the ARC Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS), an Honorary Senior Research Fellow at the Institute for Social Science Research (ISSR) at The University of Queensland, and was a Research Fellow at the ARC Centre of Excellence in Policing and Security at The University of Queensland.
Dr White’s current research interests include point-process and contagion/diffusion models for terrorist activity, text analysis, computational strategies for high-dimensioned data analysis and the application of quantitative methods for intelligence analysis. He has been an invited speaker at the Australian Institute of Professional Intelligence Officers 2013 Workshop, an invited discussant at the 2013 Joint Statistical Meeting, and presented his research at the US Department of Homeland Security, and the Australian Defence Science and Technology Organisation. He was a panellist and speaker at the American Society of Criminology meeting in Washington D.C. in November 2015. He has published numerous well-received papers in the fields of Statistics, Computational Methods, Criminology, and Sociology.
Before coming to Australia, Dr White was a VIGRE postdoctoral fellow at North Carolina State University and Associate post-doctoral fellow at the Statistical and Mathematical Sciences Institute (SAMSI). Dr White received his B.S. in Mechanical and Aerospace Engineering, MA and PhD in Statistics from the University of Missouri-Columbia.
Personal details
Positions
- Associate Professor in Data Science and Government Statistics Chair
Faculty of Science,
School of Mathematical Sciences - Senior Lecturer
Faculty of Science,
School of Mathematical Sciences
Keywords
Bayesian, Point-process, Modelling, GPU, Terrorist Activity, Social Science
Research field
Statistics, Computation Theory and Mathematics, Criminology
Field of Research code, Australian and New Zealand Standard Research Classification (ANZSRC), 2008
Qualifications
- PhD Statistics (University of Missouri)
Teaching
- Unit Coordinator MXB341 Semester 1 2019
- Unit Coordinator MXB107 Semester 2 2019
- Lecturer EGB 432 Semester 1 2019
Experience
- Research Projects for Defence Science and Technology Organisation
- Consulting Projects with Electoral Commission of Queensland
- Consulting Projects with the Queensland Department of Natural Resources
Publications
QUT ePrints
For more publications by Gentry, explore their research in QUT ePrints (our digital repository).
Supervision
Supervision topics
- Sampling to optimise training data
- Assessing the quality of training
- Identifying Indigenous contributions to knowledge
- Quality and validation of machine learning methods
- Explainability of machine learning methods
- Taxonomy of data science methods
- Web-scraping for business information
- Assessment of non-linear dimension reduction methods for calculating a SEIFA-like index
- Assessing the quality of cluster analysis
- Explainability of outlier detection methods