Yang Kuang

Yang Kuang is Professor of Mathematics at Arizona State University's School of Mathematical and Statistical Sciences, with joint affiliations with the CRESMET and Mathematical Computational Modeling Sciences Center. His research bridges mathematical biology, oncology, population dynamics, and delay differential equations.

His cancer modeling investigates glioblastoma growth mechanisms, tumor-immune interactions, and prostate cancer treatment optimization. Ecological work pioneers stoichiometric modeling of producer-grazer systems and virus-host-environment interactions. He directs NSF-funded projects including 'Mathematical Classification of Complexity in Population Dynamics' and 'Predictive Modeling of Pattern Formation'.

Publications demonstrate recurring themes: reaction-diffusion tumor models, wastewater-based epidemiology during pandemics, and ecological stoichiometry. His textbook Introduction to Mathematical Oncology establishes core frameworks for cancer modeling.