Description: Assistant professor at Uppsala University, Sweden
I am currently an assistant professor in Statistics at the Department of Statistics, Uppsala University in Sweden. My research interest focus on Bayesian statistics and probabilistic machine learning, especially model evaluation, model diagnostics and inference algorithms. In addition, my research interests also encompass statistical inference for textual data. This work includes both using transformer-based neural networks for scientific inference and research on probabilistic latent semantic models, such
Before my position at Uppsala University, I was a postdoc under Aki Vehtari at the Department of Computer Science, 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 .