Hi! I’m Yuyang Huang, a Royal Commission for the Exhibition of 1851 Research Fellow at the Mathematical Institute, University of Oxford. My research lies at the intersection of nonconvex optimization, optimal control, Hamilton–Jacobi–Bellman (HJB) equations and Consensus-based optimization (CBO).

I received my Ph.D. in Applied Mathematics from Imperial College London, supervised by Prof. Dante Kalise and Prof. Nikolas Kantas. My doctoral research focused on the design and analysis of optimization methods inspired by feedback control, including consensus-based optimization and control-theoretic approaches to nonconvex global optimization. More broadly, I am interested in understanding how tools from optimal control, partial differential equations, and interacting particle systems can be used to design new algorithms for challenging high-dimensional optimization problems.

At Oxford, my 1851 Research Fellowship project, “Navigating Complex Optimisation Landscapes,” develops this direction further, with the aim of building mathematically principled and computationally effective methods for nonconvex problems.