Background and activities


My main interests lie in spatio-temporal statistics and computational statistics. In particular, the use of stochastic partial differential equation (SPDE) models for fast computations with spatio-temporal processes. I am interested in applications in a wide range of scientific fields from epidemiology and demography to physical sciences.

In Autumn 2022, we are starting the project IMod (Partial differential equations, statistics and data: An interdisciplinary approach to data-based modelling). This will be an inter-disciplinary project building collaboration between statistics, partial differential equations, numerics, neuroscience, and fluid mechanics.

In 2020, we are starting the project MASCOT (Maritime Autonomous Sampling and Control). This is an inter-disciplinary project that aims to develop and design observational strategies in spatio-temporal domains, enabling autonomous platforms to decide on a strategy of where and when to make measurements to increase our knowledge of dynamic environments like the upper water-column. 

I'm involved in the development of the R-package SUMMER (Spatio-Temporal Under-Five Mortality Methods for Estimation), where the target is to take advantage of complex, but easy-to-use and computationally efficient methods for subnational mapping of under-five mortality in low- and medium-income countries. This work is lead by Jon Wakefield at the University of Washington, Seattle, USA. The methods and software were used to produce official subnational under-five mortality estimates for 1990-2019 in close coordination with the United Nations Inter-agency Group for Mortality Estimation (UN IGME).

I'm also interested in methodological development in Bayesian statistics and creating a framework for specifying intuitive and robust joint priors for several variance parameters in a latent Gaussian model. The methods are available in the R-package makemyprior.

See here for more details.

Scientific, academic and artistic work

Displaying a selection of activities. See all publications in the database