Biography
Professor David Bolin joined KAUST in 2019 as an Associate Professor of Statistics and Affiliate Professor of Applied Mathematics and Computational Sciences (AMCS).
Bolin received both his Ph.D. degree in Mathematical Statistics and M.Sc. in Engineering Mathematics from Lund University, Sweden, in 2012 and 2007, respectively.
Upon completing his Ph.D., he spent one year at Umeå University, Sweden, working as a postdoctoral fellow before moving to the Chalmers University of Technology, Sweden, as an Assistant Professor.
In 2016, Bolin became an Associate Professor of Mathematical Statistics at the University of Gothenburg, Sweden, where a year later, he received the title of Docent in Mathematical Statistics.
Research Interests
Professor Bolin’s main research interests are stochastic partial differential equations (PDEs) and their applications in statistics, focusing on developing practical, computationally efficient tools for modeling non-stationary and non-Gaussian processes.
The Swedish researcher leads the Stochastic Processes and Applied Statistics (StochProc) research group at KAUST, which focuses on statistical methodology for stochastic processes and random fields based on stochastic PDEs.
This research combines methods from statistics, probability and applied mathematics in order to construct more flexible statistical models and better computational methods for statistical inference. In parallel with the theoretical research, the group works on applications in a wide range of areas, ranging from brain imaging to environmental sciences.
