- Dr Samuel Clifford
- Research Associate in Statistical Modelling
Science and Engineering Faculty,
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- +61 7 3138 2863
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- Identifiers and profiles
PhD (Queensland University of Technology), Bachelor of Applied Science (Honours) Mathematics (Queensland University of Technology)
Dr Clifford’s PhD thesis, conferred in 2013, was completed within the International Laboratory for Air Quality and Health (QUT) under the supervision of Professor Lidia Morawska, Professor Kerrie Mengersen and Dr Sama Low Choy. The topic of the thesis was “Spatio-temporal modelling of ultrafine particle number concentration”. His undergraduate background is in computational mathematics, mathematical modelling and applied physics. He holds a B AppSc (Mathematics) with Honours for his thesis on numerical analysis of shear-augmented flow, under the supervision of Dr Glenn Fulford and Dr Timothy Moroney. Dr Clifford blogs about his teaching and research at http://samclifford.info
Dr Clifford works on a variety of environmental statistical challenges, including reef coral cover, jaguar conservation, and air pollution and its health impacts.
Dr Clifford is the unit coordinator and lecturer for SEB113 – Quantitative Methods in Science, a first year unit in the Bachelor of Science. The unit equips students with knowledge and skills in data visualisation, linear algebra, calculus, and statistical modelling through problem based learning and case studies from the sciences. In 2015 the SEB113 teaching team, led by Dr Clifford, was awarded a Vice-Chancellor’s Performance Award for their work redesigning the unit. Dr Clifford’s interests in teaching include introducing first year students to mathematical and statistical modelling as a creative exercise, the use of the R software to create reproducible analyses and effective visualisations, and ensuring students are aware of the level of mathematics and statistics required to study science such as the development of a diagnostic tool for all incoming Bachelor of Science students to help guide them towards an appropriate mathematics unit for their first semester of study.
For publications by this staff member, visit QUT ePrints, the University's research repository.