[2020-12-24] We have just opened up two postdoc positions in machine learning for materials disovery at AIICS/STIMA. Additional details are available here. [Read More]

[2020-12-03] Wohoo! I recently got a grant accepted from the Swedish Reserach Council for the project Handling Uncertainty in Machine Learning. The project runs for 4 years.

[2020-10-28] On Oct 28 my PhD student David Widmann successfully defended his licentiate’s thesis (= roughly half way to PhD), entitled Calibration of Probabilistic Predictive Models. The discussion was lead by Meelis Kull, University of Tartu.

[2020-10-07] Congratulations to Johanna Rosén who has been granted 29 MSEK from the KAW foundation for The 2D-Materials Frontier. Together with co-applicant Fredrik Heintz I’m responsible for the machine learning part of the project, where we will use machine learning to aid the search for new and exciting 2D materials.

[2020-10-02] Paper accepted for NeurIPS, together with Christian A Naesseth and David M Blei! We develop a method for optimizing the “inclusive” Kullback-Leibler divergence KL(p || q) in the context of variational inference by blending VI and MCMC. Check out the paper here.