Hannah S. Laus

Welcome to my personal webpage. Thank you for visiting!

I am Hannah, a PhD student, supervised by Felix Krahmer, at TU Munich and the Munich Center for Machine Learning (MCML).

This spring (April to June) I was a visiting fellow at Harvard University in the group of Flavio Calmon. If you are interested about my experience at Harvard check out my blogpost. Prior I obtained my B.Sc. in Mathematics from Goethe University Frankfurt and my M.Sc. from RWTH Aachen University. During my Master’s degree, I spent a semester abroad at POSTECH in South Korea.

My research interests include the following areas:

1. Mathematical Foundation of Machine Learning, in particular in the area of inverse problems.

2. Uncertainty Quantification for Machine Learning, ranging from theoretical frameworks like debiased estimators and conformal prediction to applications such as medical imaging and LLMs.

In both these areas, I have preprints or published works, which you can find below.

If you are interested in my research interests or collaborations, feel free to reach out to me via E-mail. I am happy to talk!