Thomas Keck is an experimental high-energy physicists. He obtained his PhD at the Karlsruhe Institute of Technology in 2017. As a member of the Belle and Belle II collaboration he was responsible for the development and implementation of machine learning algorithms in the Belle II Software Framework. In particular, his work was focused on hadronic and semileptonic tagging algorithms, and their application to rare B meson decays. His professional interests include any new technologies in the field of computer science in particular deep learning techniques and their application in physics.

Introduction.- From Belle to Belle II.- Multivariate Analysis Algorithms.- Full Event Interpretation.- B tau mu.- Conclusion.