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Personal profile

Research Overview

Professor Huser's main research interests lie at the intersection between statistics of extreme events, risk assessment, spatio-temporal statistics, and statistical approaches for large datasets, with particular focus on environmental applications such as the prediction of extreme flooding, droughts, and wind gusts. He develops statistical models for rare events, as well as efficient inference methods to fit them to data.

Key Research Areas

Applied Mathematics and Computational Science

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 9 - Industry, Innovation, and Infrastructure
  • SDG 13 - Climate Action
  • SDG 14 - Life Below Water
  • SDG 15 - Life on Land


Statistics, Ph.D., Swiss Federal Institute of Technology Lausanne


Award Date: Jan 1 2013

Applied Mathematics, M.S., Swiss Federal Institute of Technology Lausanne


Award Date: Jan 1 2009

Mathematics, B.S., Swiss Federal Institute of Technology Lausanne


Award Date: Jan 1 2007


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Collaborations and top research areas from the last five years

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