My research interest is in Bayesian Statistics and Probabilistic Machine Learning and how these tools can be used to draw scientific conclusions about society and culture. I have a special interest in the use of text as data for scientific inference.

I'm currently an assistant professor in Statistics at Department of Statistics, Uppsala University. Before Uppsala, I was a postdoc at the Department of Computer Science at Aalto University, Finland. I hold a Ph.D. from Linköping University, Sweden, defended in 2018. In 2019 I was awarded the Cramér prize for the best dissertation in Statistics and Mathematical Statistics in Sweden for my thesis Scalable and Efficient Probabilistic Topic Model Inference for Textual Data. I hold two research grants from the Swedish Research Council and has been awarded the Academy of Finland postdoctoral researcher grant.