معرفی
Dr Andrew Black is a Senior Lecturer in the School of Computer and Mathematical Sciences at the University of Adelaide, within the Faculty of Sciences, Engineering and Technology. His research focuses on stochastic modelling, mathematical epidemiology, evolutionary biology, probabilistic learning, Bayesian inference, and data science. He is eligible to supervise Masters and PhD students in these areas.
Key research interests include applying generative machine learning techniques (e.g., diffusions, normalising flows) to stochastic models, analyzing household outbreak data for influenza and COVID-19, and modeling evolutionary transitions from cells to multicellular life. He also develops new simulation methods and importance sampling algorithms for stochastic systems.
Recent work spans topics such as viral dynamics inference, smart grid optimization with low-resolution data, and barriers to genetic disease detection. His interdisciplinary approach bridges mathematical theory with real-world applications in public health and energy systems.
