Hannah Marienwald
Doctoral Researcher
Hannah Marienwald is a doctoral researcher under supervision of Prof. Dr. K.-R. Müller and a member of the Bifold Graduate School. Before that, she worked as a research associate at the Institute of Mathematics, Mathematical Statistics and Machine Learning, at Universität Potsdam in cooperation with BZML and the Data Engineering Systems group at the Hasso-Plattner Institute. She obtained her B.Sc. and M.Sc. degree in computer science with strong focus on ML, statistics, and probability theory at the Technische Universität Berlin.
Teaching Experience: 4 years of experience as student teaching assitant of the Machine Learning Group (TU Berlin) for numerous courses.
PhD Title: Theoretical Analysis of Learning Multiple Problems
- Estimation of multiple means
- Kernel methods
- Kernel mean embeddings
Jonah Kömen, Hannah Marienwald, Jonas Dippel, Julius Hense
Do Histopathological Foundation Models Eliminate Batch Effects? A Comparative Study
Gilles Blanchard, Jean-Baptiste Fermanian, Hannah Marienwald