معرفی
Associate Professor Stephen Davis is affiliated with RMIT University's School of Science. His research focuses on mathematical modeling of vector-borne and zoonotic diseases, complex networks, and biometric systems. He holds a PhD and has extensive international experience, including postdoctoral roles at institutions like Yale University and Utrecht University. His work spans theoretical epidemiology, with contributions to understanding diseases like plague, Lyme disease, and African sleeping sickness. Davis has co-authored a textbook on essential mathematical skills for STEM students and leads research projects on mosquito population dynamics and disease network modeling. He has published in high-impact journals like Nature and Science, and his current projects include analyzing gene co-expression networks and retinal template protection systems.
Research Interests: Applied Mathematics, Public Health, Artificial Intelligence in Biometrics, Ecological Modeling, and Disease Dynamics. His work integrates mathematical tools with ecological and biomedical datasets to address global health challenges.
Notable Contributions: Development of MAPPINGS software for phospho-signalling analysis, GRETINA retinal image dataset, and models predicting disease emergence in wildlife networks. His articles emphasize interdisciplinary approaches to epidemiology and biometric security.
