I am currently an assistant professor in Statistics at Department of Statistics, Uppsala University. Before Uppsala University, I was a postdoc under Aki Vehtari at the Department of Computer Science at Aalto University, Finland. I hold a PhD from Linköping University, Sweden, supervised by Mattias Villani and with Marco Kuhlmann as co-supervisor. During my PhD, I was a guest researcher/PhD at Cornell University under David Mimno.
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 (see projects) and has been awarded the Academy of Finland postdoctoral researcher grant. I am also affiliated with the Institute for Analytical Sociology at Linköping University.
I have a background as a statistician for the Swedish Agency for Education, the Swedish Agency for Crime Prevention, and the Swedish Agency for Public Health where I was working on education statistics, crime statistics and, public health.
My research interest is in Bayesian Statistics and Probabilistic Machine Learning and how we can use these tools to draw scientific conclusions about society and culture. I have a particular interest in using text as data for scientific inference.
Research Interests Keywords
Probabilistic Machine Learning, Bayesian Statistics, Model Comparison and Evaluation, Textual analysis, Computational Social Science, Digital Humanities, Survey Sampling
Ph.D. in Statistics, Linköping University, Sweden. Supervised by Mattias Villani and Marco Kuhlmann.
MS in Statistics, Stockholm University, Sweden
MS in Economic History, Stockholm University, Sweden