Phd Candidate
Dissertation topic: "Measurement of the atmospheric muon neutrino flux with theKM3NeT/ORCA6 detector"* Development of a complete analysis scheme for the measurement of the atmospheric muon neutrino flux with data from KM3NeT/ORCA * Data Quality and Data/MC simulation comparison studies* Feature Engineering: Investigation of event signatures in the detector to extract variables for signal/background discrimination* Machine Learning (BDT) classification and development of a framework for the optimization of the BDT parameters* Unfolding scheme for obtaining the energy spectrum of the atmospheric muon neutrino events* Detailed study of systematic uncertainties