• Source: Scopus
  • Calculated based on no. of publications stored in Pure and citations from Scopus
20092021

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Personal profile

Research Overview

​Professor Bolin's main research interests are in stochastic partial differential equations and their applications in statistics, with a focus on development of practical, computationally efficient tools for modelling non-stationary and non-Gaussian processes. He also works on uncertainty quantification and visualization for applications in spatial statistics and medical imaging.

Key Research Areas

Applied Mathematics and Computational Science, Machine Learning

Education

Mathematical Statistics, Ph.D., Lund University

2012

Engineering Mathematics, M.S., Lund University

2007

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