I am a researcher working within Machine Learning and Mathematical Statistics, with particular current interests in Deep Learning, Nonparametric Statistics, and Bayesian methods. In my research, I

  • build models that capture uncertainties and learn from data,
  • develop statistical procedures for hypothesis testing, estimation, and model calibration evaluation,
  • apply such models and procedures in Engineering, especially Autonomous Systems.

I am a co-founder at Sensmetry, where we work on quantitative safety evaluation of AI algorithms and autonomous systems. Before focusing fully on Sensmetry, I worked on machine learning for Autonomous Driving at Veoneer Inc. as well as conducted academic research part-time in the group of Prof Thomas Schön at the Department of Information Technology, Uppsala University. Even earlier, I did a PhD in Mathematical Statistics at Uppsala University, and completed undergraduate and master's studies in Mathematics at Oxford University.