Category: Identifiability and inference

1. Yong See Foo

   Yong See Foo is a PhD student at the University of Melbourne’s School of Mathematics and Statistics under the supervision of Prof Jennifer Flegg and Prof Michael Stumpf. His research centres around statistical inference and model selection in mathematical biology. His current projects include structural uncertainty quantification in reaction network inference and bee colony density […]

   mathematical-biology.science.unimelb.edu.au/2025/05/15/yong-see-foo

2. Alexander Browning

   Dr Alexander Browning is a Lecturer in Mathematical Biology in the School of Mathematics and Statistics at The University of Melbourne. Alex Browning is a mathematical biologist, with research areas that span identifiability and inference, models for cancer progression and treatment, and the role of heterogeneity in systems subject to environmental noise. Prior to joining […]

   mathematical-biology.science.unimelb.edu.au/2025/02/11/alexander-browning