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, TU Darmstadt and the Munich Center for Machine Learning (MCML).

Last year in spring, 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.

3. Key-Value Cache Compression for Large Language Models

In all 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 (preferably through your institution or company email address, so I know it is not spam). I am happy to talk!