Dr Sam Clifford
B AppSc PhD
in Machine (Statistical) Learning
Sam obtained a Bachelors Degree in Applied Science (with Honours 2A) from Queensland University of Technology (QUT, Brisbane, Australia), majoring in Applied and Computational Mathematics. After a short break teaching mathematics to video game developers at Krome Studios, Sam undertook his Doctoral studies at the International Laboratory for Air Quality and Health.
Under Professors Lidia Morawska and Kerrie Mengersen and Dr Samantha Low-Choy, Sam's thesis investigated spatio-temporal modelling of ultrafine particles in Brisbane, Australia. After five and a half years of postdoctoral work at QUT, Sam joins us at the London School of Hygiene and Tropical Medicine for 2.5 years as a postdoctoral fellow.
Sam has five years experience in undergraduate lecturing at QUT, teaching SEB113 - Quantitative Methods in Science, a first year B Sc unit covering mathematics and statistics in the R computational environment. His teaching makes use of blended learning approaches to prepare students for lecture material, and collaborative workshops through case studies relevant to undergraduate science.
In 2015, Sam and his team were awarded a Vice Chancellor's Award for Innovation on the basis of their work transforming SEB113.
In addition to his doctoral thesis on spatio-temporal modelling of ultrafine particle number concentration, Sam's research interests include
- exposure assessment
- personal monitoring equipment for air pollution
- non-parametric regression
- jaguar conservation
- Great Barrier Reef conservation
- machine learning for spatial data
- Bayesian hierarchical modelling
- data visualisation
- mathematics and statistics education