"Our group focusses on the reconstruction and analysis of events with hadronic final states that are recorded by the ATLAS experiment at the Large Hadron Collider (LHC) to test the predictions of the Standard Model with high precision. The measurement of the coupling of the Higgs Boson and the top quark, the heaviest particle in the Standard Model, is of special interest as deviations from the predictions can hint at new physics that is out of reach at the LHC via direct searches. Our group measures the top-Higgs coupling in thus far unexplored regions of phase space using jets with high energies in order to be sensitive to small deviations. Jets are cones of particles used as proxy to reconstruct the hadronic signature of quarks and gluons. We use jets with high energies to be able to suppress the background that is significantly larger than the signal by studying their inner structure, also referred to as jet substructure. The energy distribution within the jet can be used amongst others to infer the jet's origin. This requires however a precise resolution of the energy deposits within the jet which is challenging due to the high collision rate at the LHC resulting in overlapping calorimeter signals from different interactions. Our group focusses on the development of new algorithms based on machine learning techniques to improve the reconstruction of calorimeter signals especially in light of the High-Luminosity LHC."