Statistical Methods for the Physical Sciences Seminar

  • Remote Access - Zoom
  • Virtual Presentation - ET
  • Assistant Professor, Department of Statistics
  • Computer, Electrical and Mathematical Science and Engineering Division
  • King Abdullah University of Science and Technology (KAUST)


Raphaël Huser is an Assistant Professor of Statistics and the Principal Investigator of the Extreme Statistics (extSTAT) Research Group. He is also affiliated to the Applied Mathematics and Computational Science (AMCS) program. hE received his Ph.D. degree in Statistics from the Swiss Federal Institute of Technology (EPFL) in 2013, working with Prof. Anthony C. Davison. He also holds a B.S. degree in Mathematics and an M.S. degree in Applied Mathematics from EPFL, Lausanne, Switzerland. He then worked as a Postdoctoral Research Fellow at KAUST from January 2014, to March 2015.  dR. Huser’s research focuses on statistics of extreme events and risk assessment, which includes the development of specialized models and methods with desirable statistical properties for complex spatio-temporal processes. Domains of applications include the modeling of natural hazards (e.g., heavy rainfall, heat or cold waves, strong wind gusts, devastating landslides), as well as financial risk (e.g., turbulence in stock markets).

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