My main research interest is in Bayesian inference and machine learning for big data. In particular I work with developing high dimensional methods in neuroimaging, for fMRI images which typically contain millions of data points. Here is my current teaching.
My main supervisor is professor Mattias Villani and my co-supervisor is associate professor Anders Eklund. I am part of the Machine Learning Research Group and the Bayesian Neuroimaging Research Group at IDA.
My background is, I grew up in Halmstad at the Swedish west coast. I finished my masters in Engineering Mathematics at Lund University in 2012 and then worked in Stockholm for a couple of years at the Central bank of Sweden and If P&C Insurance, before I moved to Linköping and the university.
