Ruth Misener is a Professor in Computational Optimization and an Amazon Scholar who develops algorithms for optimal decision-making under uncertainty, with nine years of focused experience bridging operations research and machine learning. At Imperial College London she leads a multidisciplinary research team tackling industrial challenges such as manufacturing scheduling and experimental design in chemical research, and holds the BASF / Royal Academy of Engineering Research Chair in Data-Driven Optimization. Her work spans mixed-integer nonlinear, black-box, robust, and process systems optimization, and she actively translates theory into open-source tools and consultancy for industry. Trained at MIT (SB) and Princeton (PhD in Chemical Engineering), she combines deep domain knowledge with practical mentoring, supervising students through both lectures and open-ended projects. Notably, she cultivates cross-disciplinary solutions—pairing applied math, computer science and engineering—to make complex optimization problems tractable in real-world settings. Based in London, she welcomes collaborations on software, optimization research, and even recommendations for good coffee shops.
9 years of coding experience
5 years of employment as a software developer
S.B., Chemical Engineering, S.B., Chemical Engineering at Massachusetts Institute of Technology
Deering High School
PhD, Chemical Engineering, PhD, Chemical Engineering at Princeton University
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