I am a senior research scientist at RISE Research institutes of Sweden and head of the deep learning research group. We run a number of applied research projects where state-of-the-art techniques from machine learning transform application areas, and let new application areas drive innovation to push the boundaries of machine learning research.
I have a PhD in machine learning from Chalmers university of technology, my thesis is called Representation learning for natural language (click for details). I have worked on summarization, dialogue systems, adversarial training (for sequences, data privacy, speech), character-based RNNs, and federated learning.
I believe in the potential for AI to make the world a better place for us all, which is why much of the research projects I run are motivated by environmental or medical issues. I like listenening to the Talking Machines podcast.
Also see my licentiate thesis, titled "Multi-document summarization and semantic relatedness", and my master's thesis Dynamics of geographical routing in small-world networks.
I am currently supervising one PhD candidate. I frequently supervise master's students in their thesis work. See my research group page and the list of finished master student projects for more info. I have taught many courses.
When not doing research or teaching, I am a long distance runner and the lucky father of two wonderful children.