I pursue my Ph.D. in the Data Analytics and Machine Learning (DAML) group at the Technical University of Munich (TUM), where I am supervised by Stephan Günnemann.

My research focuses on efficient machine learning methods for uncertainty estimation for different input (e.g. tabular, images, graphs, sequential data) and output types (e.g. categories, real values, positive counts). In particular, I am interested in defining desiderata, models and evaluation methods for practical uncertainty estimation in real-world applications. Other research interests include hierarchical and causal inference, robust machine learning and efficient machine learning.

If you are interested in discussing with me, contact me per email or on twitter :)