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Applied Mathematics and Computational Sciences
AMCS
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extreme-value theory

Simon Nik

Simon Nik

Postdoctoral Research Fellow, Statistics

Statistics of extremes extreme-value theory stochastic partial differential equations discrete time series

Simon obtained his PhD in 2024 from Helmut-Schmidt-University Hamburg, Germany, with a thesis entitled " Stochastic modeling and statistical analyses of non-negative data and times series". He is now a postdoctoral researcher at the King Abdullah University of Science and Technology (KAUST), working in the XSTAT group under Prof. Raphaël Huser's supervision. Education and Early Career Simon obtained his PhD in 2024 from Helmut-Schmidt-University Hamburg, Germany. He joined KAUST as a postdoc in December 2024. Research interests Simon's current research interests focus primarily on extreme

Raphaël Huser

Associate Professor, Statistics

Statistics of extremes extreme-value theory spatio-temporal statistics data science machine learning copulas Environmental Statistics geostatistics applications to finance applications to neuroscience

Professor Huser develops novel statistical methodology and machine learning solutions to model and predict extreme events in various applications ranging from climate and earth sciences to finance and neuroscience.

Applied Mathematics and Computational Sciences (AMCS)

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