- Associate Professor Helen Thompson
- Associate Professor in Statistics
Faculty of Science,
School of Mathematical Sciences
- Discipline *
- +61 7 3138 2260
- View location details (QUT staff and student access only)
- Identifiers and profiles
Doctor of Philosophy (University of Glasgow), BSc (Hons) (University of Queensland), Bachelor of Science (University of Queensland)
- Professional memberships
- Royal Statistical Society
- Statistical Society of Australia
- Institute of Mathematical Statistics
- International Society for Bayesian Analysis
Optimum experimental design, Spatial modelling, Optimal spatial sampling, Copula modelling, Environmental statistics, Health statistics, Applied statistics, Statistical consulting
Background: Dr. Helen Thompson holds a PhD in Statistics from the University of Glasgow (2008). Her PhD thesis on optimal experimental design was supervised by Dr. Ben Torsney. She was previously awarded a BSc (Hons) – Class I in Mathematics from the University of Queensland (2001). Her honours research on multiple imputation was supervised by Prof. Annette Dobson. Helen also holds a BSc in Statistics from the University of Queensland (2000). Helen has held an academic position in the School of Mathematical Sciences since 2007. Prior to this she held a position as Teaching Assistant at the University of Glasgow during the course of her PhD, was a Research Officer at the Australian Bureau of Statistics after completing a Cadetship during her BSc (Hons), and briefly worked as a Research Officer for Brisbane Water during her BSc.
Research discipline: Mathematical Sciences
Areas of expertise:
- Optimal design of experiments
- Clinical trial design
- Bayesian design
- Spatial modelling and sampling
- Copula modelling
- Stochastic frontier modelling
- Appled statistics
Teaching discipline: Mathematical Sciences
- Introductory statistics to various cohorts (1st year)
- Introductory mathematics (calculus and linear algebra) to Health Science students (1st year)
- Statistical techniques: experimental design, survival/reliability analysis, multivariate analysis (3rd year)
- Applied statistics: generalised linear models (3rd year)
Teaching: Helen also has considerable teaching experince in Mathematics and Statistics with other academic institutions in her capacity as Teaching Assistant at the University of Glasgow (2003-2007) and Tutor at the University of Queensland (1999-2001).
Consulting: Some organisations that Helen has provided statistical consultancy for include:
- Queensland Academy of Sport
- Integrated Open Space Services
Industry Collaboration: Helen’s external collaborative research partners include:
- The Developing Foundation (QUT ATN IDTC)
- Princess Alexandra Hospital
- BHP Billiton, The Quantitative Group (CRC ORE)
- Roche Pharmaceuticals (ARC Linkage)
Research Supervision:Below is a list of Helen’s completed research students, which includes students whom she associate supervised, and positions taken by the students after completion:
- Gnai Nishani Musafer, PhD (Statistics), “Non-Linear Univariate and Multivariate Spatial Modelling and Optimal Design” (Principal Supervisor), Data Scientist at Dingo Software.
- Darsy Darssan, PhD (Statistics), “Novel Sequential Methods in Dose-Finding Designs: Extension of the Continual Reassessment Method” (Associate Supervisor), Postdoctoral Research Fellow at the University of Liverpool.
- Elizabeth Ryan, PhD (Statistics), “Contributions to Bayesian Experimental Design” (Associate Supervisor), Statistician at King’s College London.
- Adebayo Aderounmu, PhD (Statistics), “Copula-Based Dependence Modelling of Price Spikes and Contagion-Like Effects in Australian Electricity Markets” (Associate Supervisor), Postdoctoral Research Fellow at University of Western Ontario.
- Zhengling Xiong, MPhil (Statistics), “Relationship Between Temperature Derivvtives and Electricity Futures” (Associate Supervisor), PhD student at UQ.
- Earl Duncan, BAppSc (Hons) (Statistics), “Optimal Designs for Non-Linear Models with Application to Dose-Finding in Phase I Clinical Trials”, PhD student at QUT.
- Musafer G, Thompson H, (2017) Non-linear optimal multivariate spatial design using spatial vine copulas, Stochastic Environmental Research and Risk Assessment p551-570
- Musafer G, Thompson H, Kozan E, Wolff R, (2017) Spatial pair-copula modeling of grade in ore bodies: a case study, Natural Resources Research p223-236
- Blackler A, Gomez R, Popovic V, Thompson H, (2016) Life is too short to RTFM: How users relate to documentation and excess features in consumer products, Interacting with Computers p27-46
- Musafer G, Thompson H, (2016) Optimal adaptive sequential spatial sampling of soil using pair-copulas, Geoderma p124-133
- Swann L, Popovic V, Thompson H, Blackler A, Kraal B, (2015) Relationships between user experience and intuitiveness of visual and physical interactions, Proceedings of the 6th IASDR (The International Association of Societies of Design Research Congress p1900-1916
- Darssan D, Thompson H, Pettitt T, (2014) Incorporating adverse event relatedness into dose-finding clinical trial designs, Statistics in Medicine p1146-1161
- Ryan E, Drovandi C, Thompson H, Pettitt T, (2014) Towards Bayesian experimental design for nonlinear models that require a large number of sampling times, Computational Statistics and Data Analysis p45-60
- Musafer G, Thompson H, Kozan E, Wolff R, (2013) Copula-based spatial modelling of geometallurgical variables, Proceedings of the Second AusIMM International Geometallurgy Conference 2013 p239-246
- McGree J, Drovandi C, Thompson H, Eccleston J, Duffull S, Mengersen K, Pettitt T, Goggin T, (2012) Adaptive Bayesian compound designs for dose finding studies, Journal of Statistical Planning and Inference p1480-1492
Grants and projects (Category 1: Australian Competitive Grants only)
- Innovative Bayesian Statistics for Enhanced Decision Making for Pharmaceutical Drug Development
- Primary fund type
- CAT 1 - Australian Competitive Grant
- Project ID
- Start year
- Bayesian Adaptive Design;Bayesian Decision Procedures;Design for Dose Escalation;Optimal Design;Simulation Modelling;Bayesian Computation