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Nikolas Nüsken obtained his PhD from Imperial College London in 2018, supervised by Professor Greg Pavliotis. He has experience as a postdoctoral researcher at the University of Potsdam within the Collaborative Research Centre 'Scaling Cascades in Complex Systems'. In 2022, Nüsken joined King's College London as a Lecturer in Mathematical Data Science. His research interests include computational Bayesian inference, partial differential equations, stochastic analysis, interacting particle systems, optimal control, optimal transport, and kernel methods. He is involved in a probability group within the Department of Mathematics at King's College London, focusing on research strengths in the design and analysis of experiments, time series, and Markov chain Monte Carlo and sequential Monte Carlo methods. Nüsken has contributed significantly to the field through various publications and research projects.
King's College London • London, England
Lecturer in Mathematical Data Science.
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