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Prof Cang Hui is a Full Professor in the Department of Mathematical Sciences at Stellenbosch University and holds the South African Research Chair (SARChI) in Mathematical and Theoretical Physical Biosciences. He is a biomathematician whose research lies at the interface of mathematics and biology, developing formal and applied mathematical frameworks to explain how biological complexity emerges from eco-evolutionary interactions. His primary research interests include biodiversity entropy partitioning, the structural emergence of open adaptive networks, dynamic species distribution modelling, spatial macroecology under climate change, adaptive behaviour and movement, evolutionary game theory and adaptive games, and algebraic systems biology.
Prof Hui serves as Coordinator of the Biomathematics Honours Programme and is a Core Team Member of the Centre for Invasion Biology within the School for Climate Studies. He is also Coordinator of the Complexity in Biological Systems focus area at the National Institute for Theoretical and Computational Sciences, a Researcher at the African Institute for Mathematical Sciences (Muizenberg), and a Trustee of the International Initiative for Theoretical Ecology (London). He serves on the editorial boards of three journals and acts as Associate Editor for five journals, including Mathematics in Medical and Life Sciences, Global Ecology and Biogeography, Biological Invasions, Ecological Complexity, and Bulletin of Mathematical Biology. His authored books include Ecological and Evolutionary Modelling (2018), Invasion Dynamics (2017), and Invading Ecological Networks (2022). His contributions encompass the development of scaling patterns of occupancy, the formulation of zeta diversity for multisite compositional similarity and biodiversity partitioning, theoretical advances in invasion dynamics, performance and resilience in complex networks with trait-mediated interactions, and the portfolio effects of landscape-level demography.
Stellenbosch researchers warn of Cassava Brown Streak Disease expanding risks in Africa via advanced modeling, urging resistant varieties amid climate shifts.
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