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I am a PhD student at the University of Tübingen and the International Max Planck Research School for Intelligent Systems, supervised by Robert Bamler and funded by the Cluster of Excellence Machine Learning. I spent four months as an intern in Roger Grosse’s group at the Vector Institute. I am interested in deep (probabilistic) models, flexible and efficient inference methods for large (language) models, and data compression.
If you are a Bachelor’s or Master’s student and interested in writing a thesis in our group, please reach out!

News

• June 2025: In a new preprint I co-authored, we show that large language models struggle with sampling from Bernoulli distributions and introduce a rejection-sampling-based method that effectively reduces this bias. It’s a nice read if you are interested in (rejection) sampling and/or LLMs!
• January 2025: We finally managed to find the time to publish parts of my Master’s thesis as a paper (preprint) at a chemistry journal. If you like applications of machine learning to science, check it out!
• December 2024: Our paper, A Note on Generalization in Variational Autoencoders: How Effective Is Synthetic Data and Overparameterization? has been accepted at TMLR following a smooth and constructive review process! Check it out if you (still) like VAEs!
• September 2024: I am excited to be joining the group of Roger Grosse for the Vector research internship in February 2025! Please reach out if you are based in the Toronto area!
• June 2024: I will present our paper at ICML 2024 and AABI 2024 in person. Chat with me in Vienna! I will also present the project at the Approximate Inference in Theory and Practice workshop in Paris!
• May 2024: Our paper Differentiable Annealed Importance Sampling Minimizes The Symmetrized Kullback-Leibler Divergence Between Initial and Target Distribution has been accepted at ICML 2024!
• November 2023: I am visiting NeurIPS 2023 in person. Talk to me in New Orleans!
• October 2023: Our paper The SVHN Dataset Is Deceptive for Probabilistic Generative Models Due to a Distribution Mismatch has been accepted at the NeurIPS 2023 Workshop on Distribution Shifts! Check out the project page!
• May 2023: I am visiting ICLR 2023 in person. Come and talk to me in Kigali, Rwanda!
• April 2023: Our paper Resampling Gradients Vanish in Differentiable Sequential Monte Carlo Samplers has been accepted as a TinyPaper at ICLR 2023!
• July 2022: I am starting a PhD in the group of Robert Bamler!