Måns Magnusson

My research interests focus on Bayesian statistics and probabilistic machine learning, especially model evaluation, diagnostics, and inference algorithms. I’m especially interested in more general tools for Bayesian statistical inference, such as probabilistic programming, general inference algorithms and model diagnostics. In addition, my research interests also encompass statistical inference for textual data. This work includes using transformer-based neural networks for scientific inference and researching probabilistic latent semantic models, such as word embeddings and topic models. The work on text-as-data also addresses issues of efficiently curating large corpora for research purposes.