Christian Forssén

Christian Forssén is Professor in theoretical physics at Chalmers. He uses high-performance computing, Bayesian statistics and machine learning, to address basic-science questions within theoretical nuclear and particle physics. Christian has supervised research projects for more than 100 bachelor and master students and has been teaching both undergraduate and graduate-level physics classes, as well as advanced courses on Bayesian data analysis and the use of machine learning methods in physics.