Meet Joachim Carlo Kristian Hansen

During his PhD, Joachim has done service task work for ALICE working on the Time Projection Chamber (TPC), where he tested machine learning algorithms to replace some of the existing rather expensive track fitting algorithms that are in place due to space-charge distortions. He has worked on anisotropic flow in heavy ions trying to describe the hydrodynamic evolution of the quark-gluon plasma droplets that are formed during the collisions of heavy nuclei. Joachim also did industry secondments with the traffic research company called XIMANTIS, where they used Graph Neural Networks (GNNs) to predict traffic density, which they further enhanced by using the temporal information in the system. Finally, he has been working on a few other physics analyses in ALICE, one that is focused on energy loss of jets in heavy ion collisions, and another that is exploring anisotropic flow in the newly recorded light ion collisions of oxygen-oxygen and neon-neon.