Work in research and teaching at the Institute of Mathematics (Stochastic Analysis), Supervision of seminars and lectures, Teaching of exercise classes (4 SWS for a full-time position), Co-supervision of Bachelor and Master students/theses, Research in conservative stochastic PDEs, singular SPDEs, mathematics of machine learning, interacting particle systems, nonequilibrium statistical mechanics, stochastic fluid dynamics, Investigate questions of well-posedness, regularity, qualitative behavior, equilibrium and nonequilibrium large deviations and their numerical simulation, Focus on universal limits, stochastic learning dynamics, and generalization errors in the mathematics of machine learning