Associate Professor Stephen Davis
Associate Professor
Details
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College: School of Science
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Department: School of Science
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Campus: City Campus Australia
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stephen.davis@rmit.edu.au
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ORCID: 0000-0003-1202-1426
Open to
- Masters Research or PhD student supervision
About
Stephen is broadly interested in the mathematical modeling of vector-borne and zoonotic diseases, with 10 years full-time research experience in theoretical and applied epidemiology. He has worked on the following specific disease systems: sylvatic plague (Yersinia pestis infection in wild animals) in Kazakhstan; bubonic plague (Yersinia pestis infection in humans arising from a flea bite) in Tanzania; Lyme disease in North America; African sleeping sickness in Uganda; the sylvatic cycle of Echinococcus multilocularis in Europe; and rabies in Tanzania.
His areas of expertise include the mathematical modeling of infectious disease, complex networks, theoretical population biology, and biometrics. He has a developing interest in the use of graphs and networks in pattern recognition, with applications in automatic biometric authentication and identification systems.
Undergraduate mathematics
Stephen has co-authored a small text book, together with Dr Steven Barry, that is designed to help undergraduate students of mathematics master (and remember) skills that lecturers typically assume the students retain from either high-school or previous courses.
Barry, S. I. and Davis, S. Essential Mathematical Skills. (https://www.newsouthbooks.com.au/books/essential-mathematical-skills_for-engineering-science-and-applied-mathematics/) UNSW Press, Sydney.
Industry Experience;
Stephen is a Senior Lecturer in Mathematics. He began his career at CSIRO, Division of Wildlife and Ecology, and then spent 8 years in Europe and the USA as a postdoctoral scientist before returning to Australia late in 2009.
He has spent time at the Department of Biology at the University of Antwerp (Belgium), the School of Veterinary Science in Utrecht University (The Netherlands) and the School of Population Health at Yale University (USA).
He has first-author publications in Nature and Science.
His areas of expertise include the mathematical modeling of infectious disease, complex networks, theoretical population biology, and biometrics. He has a developing interest in the use of graphs and networks in pattern recognition, with applications in automatic biometric authentication and identification systems.
Undergraduate mathematics
Stephen has co-authored a small text book, together with Dr Steven Barry, that is designed to help undergraduate students of mathematics master (and remember) skills that lecturers typically assume the students retain from either high-school or previous courses.
Barry, S. I. and Davis, S. Essential Mathematical Skills. (https://www.newsouthbooks.com.au/books/essential-mathematical-skills_for-engineering-science-and-applied-mathematics/) UNSW Press, Sydney.
Industry Experience;
Stephen is a Senior Lecturer in Mathematics. He began his career at CSIRO, Division of Wildlife and Ecology, and then spent 8 years in Europe and the USA as a postdoctoral scientist before returning to Australia late in 2009.
He has spent time at the Department of Biology at the University of Antwerp (Belgium), the School of Veterinary Science in Utrecht University (The Netherlands) and the School of Population Health at Yale University (USA).
He has first-author publications in Nature and Science.
Supervisor projects
Modelling the spatio-temporal population biology of virus transmitting mosquitos in southeastern Australia
- 26 Aug 2024
- Extreme Seasonal Spatio-Temporal Variation and the Ecology of Wildlife Disease
- 17 Jan 2024
- The economic impact of ehrlichiosis in Australia and related interventions
- 1 Dec 2023
- Detecting anomalous communities in dynamic social networks
- 4 Sep 2023
- Analysis of gene co-expression networks using local measures of dissimilarity.
- 27 Mar 2019
- Dissimilarity Vector Representation for Retinal Template Protection
- 1 Aug 2018
- Backward Bifurcation and Reinfection in Mathematical Models of Tuberculosis
- 27 Jun 2014
- Disease emergence and dynamics on biologically motivated contact networks
- 22 Jul 2013
Teaching interests
Mathematical models of infectious disease; the persistence and distribution of multi-host zoonotic pathogens; contact networks of wildlife; complex networks; graph dissimilarity; infant biometrics.
Research interests
Applied Mathematics, Public Health and Health Services, Artificial Intelligence and Image Processing, Ecological Applications, Ecology, Computation Theory and Mathematics
