Benjamin Walker

Benjamin Walker is a Research Fellow at the Mathematical Institute, University of Oxford, within the Department of MATH. His research interests include rough path theory, neural differential equations, and generative modelling. Walker has contributed to significant publications in areas such as neural controlled differential equations and synthetic electronic health records. He is also involved in teaching, including a Lectureship in Applied Mathematics at Balliol College and tutoring in Continuous Optimisation and Introduction to Matlab for the MSc in Mathematical Modelling and Scientific Computing.

Benjamin Walker is a Postdoctoral Researcher at Oxford University, specializing in Neural Differential Equations, Generative Modelling, and Machine Learning in Healthcare. His research focuses on developing advanced mathematical models for deep learning, particularly in the context of state-space models, continuous-time diffusion models, and dynamic graph representation learning. Walker's work explores the application of these techniques to healthcare, including synthetic electronic health record generation and cardiac auscultation. His publications highlight the integration of theoretical models with practical deployment, emphasizing challenges in AI-driven healthcare for low-income settings. His research also includes methods for handling irregular and asynchronous data, as well as adversarial domain adaptation for real-world applications.