معرفی
Wai Meng Kwok is an Assistant Professor at the School of Mathematical & Computer Sciences, Heriot-Watt University. He holds a Ph.D. in Statistics and a B.Sc. in Actuarial Science. His research focuses on integrating artificial neural networks with Bayesian inference and ordinary differential equations to model epidemiological systems and solve complex mathematical problems.
Research interests span neural networks, Bayesian methodologies, and their applications in epidemiology and differential equation models. He has explored topics like epidemic parameter estimation, standardization methods for neural network training, and the impact of public health policies on disease spread.
His recent work includes developing time-stepper neural networks for epidemic modeling and applying Laplace-based Bayesian inference to differential equation systems. Collaborations involve interdisciplinary approaches to health and mathematical modeling.
No scientific awards are listed. He has advised no named students in the provided texts. His research has been applied to real-world scenarios such as analyzing Malaysia's pandemic response.
