About
Matthew Newton is a DPhil (PhD) candidate in Engineering Science at the University of Oxford, affiliated with the Control Group. He is also a College Lecturer at Worcester College, teaching undergraduate students in their first and second years, and serves as a Departmental Teaching Assistant for third-year undergraduates. His research focuses on epidemic models and developing methods to verify the robustness of neural networks, with a particular interest in stability and optimisation.
Matthew holds an MEng in Engineering Science from Oxford, where his master’s thesis under Prof. Stephen Duncan explored pipe flow stability. He also interned at the Oxford Man Institute of Quantitative Finance, analyzing financial datasets. His research interests span neural networks, control systems, and mathematical modeling of epidemics.
His publications emphasize advancements in neural network verification through polynomial optimization, sparsity exploitation, and stability analysis of complex systems. He has contributed to both theoretical frameworks and applied methodologies in control systems and epidemic modeling.
