![Nikolas Nüsken](/newimages/person-profile/2022b/photo-nik.x4e4fe11e.jpg?w=810&h=540&crop=540,540,176,0&f=webp)
Dr Nikolas Nüsken
Lecturer in Mathematical Data Science
Research interests
- Mathematics
Contact details
Biography
Nikolas Nüsken obtained his PhD from Imperial College London in 2018 under the supervision of Professor Greg Pavliotis. After a short stay at the Alan Turing Institute, he worked as a postdoctoral researcher at the University of Potsdam within the Collaborative Research Centre "Scaling Cascades in Complex Systems’’. He joined King’s College London in 2022 as a Lecturer in Mathematical Data Science.
Research interests
- Computational Bayesian inference
- PDEs and stochastic analysis for interacting particle systems
- Optimal control and optimal transport
- Kernel methods
Further information
Research
![ARTICLE Graphs 2](/newimages/nmes/main-article-780X450/article-graphs-2.x55ada6c8.jpg?w=780&h=450&crop=780,440,0,5&width=380&height=215&fit=crop&f=webp)
Statistics
The group has research strengths in the design and analysis of experiments, time series and Markov chain Monte Carlo and sequential Monte Carlo methods.
![aq ioppn mathstats](/image-library/aq-ioppn-mathstats.x5b0c5d36.jpg?w=1424&h=440&crop=780,440,322,0&width=380&height=215&fit=crop&f=webp)
Probability
The Probability group in the Department of Mathematics at King's College London.
Research
![ARTICLE Graphs 2](/newimages/nmes/main-article-780X450/article-graphs-2.x55ada6c8.jpg?w=780&h=450&crop=780,440,0,5&width=380&height=215&fit=crop&f=webp)
Statistics
The group has research strengths in the design and analysis of experiments, time series and Markov chain Monte Carlo and sequential Monte Carlo methods.
![aq ioppn mathstats](/image-library/aq-ioppn-mathstats.x5b0c5d36.jpg?w=1424&h=440&crop=780,440,322,0&width=380&height=215&fit=crop&f=webp)
Probability
The Probability group in the Department of Mathematics at King's College London.