Contact Info

office: S3010, 3rd floor Soliden

Phone: 031-7869026


Associate professor doing research in condensed matter physics and aspects of complex systems and machine learning.

I work on strongly correlated systems, such as the cuprate high-temperature superconductors, iron-based superconductors and graphene. I have worked on computational methods for quantum many particle systems such as dynamical mean field theory and more recently on a model for finite momentum superconductivity.  On a separate track I have also done some work on the Minority Game, which is a agent based model related to market dynamics. Presently I work on applying machine learning techniques to physics and quantum computing. Specifically, I have used deep reinforcement learning for quantum error correction in the toric code.

Currently, I am teaching Physics for Electrical engineering students and the newly developed course “Introduction to deep learning and reinforcement learning” .

Director of the master program in Complex Adaptive Systems at Chalmers and Gothenburg University(GU).

Coordinator at GU for the Swedish National Infrastructure for Computing (SNIC)

Member of SAID, the coordination group for AI and digitalization at GU. 

Mini CV

M.Sc. in Engineering Physics, Chalmers, 1994.

Ph.D. in Theoretical Physics, U. of Gothenburg, 1999.

Postdoc, UCLA, 1999-2001.

Postdoc, Chalmers, 2001-2002.

Postdoc, NORDITA, Copenhagen, 2002-2003.

Assistant Professor, GU, 2003-2010.

Associate Professor, GU, 2010-