Ruth Misener

Ruth Misener is a Professor in Computational Optimisation at the Department of Computing, Imperial College London. Her research focuses on computational optimisation, including mixed-integer nonlinear optimisation, Bayesian optimisation, and the development of open-source software. She works at the intersection of operations research and machine learning, addressing industry challenges in logistics, experimental design, and data-driven optimisation. Misener is affiliated with the Computational Optimisation Group and holds the BASF/RAEng Research Chair in Data-Driven Optimization. Her work includes developing algorithms for global optimisation, active learning, and explainable optimisation, with applications in energy systems, bioprocesses, and heat recovery networks.

Ruth Misener is a computational optimization researcher at Imperial College London, specializing in MINLP, Bayesian Optimization, and Open-source Software. Her work focuses on developing algorithms for global optimization of nonlinear equations and mixed-integer nonlinear programming. She has contributed to the creation of open-source tools such as OMLT and ANTIGONE, which are used for solving complex optimization problems. Her research also includes the application of optimization techniques in process systems engineering, neural networks, and machine learning. Misener's publications address challenges in global optimization, including the pooling problem, quadratic programming, and the integration of machine learning for process optimization.