I’m a Data Science PhD student with Eric Schulz. My backgrounds are cognitive neuroscience (Heidelberg University & LMU Munich) and statistics & machine learning (LMU Munich & Tübingen University).

In my research I combine methods in stats and ML to make either more efficient. My interests include Bayesian data analysis, hierarchical and latent variable modeling, as well as simulation-based inference.

My PhD is funded by the German Academic Scholarship Foundation and the Helmholtz Institute for Human-Centered AI.

Publications

• Alex Kipnis, Marcel Binz, Eric Schulz (2026). metabeta - A fast neural model for Bayesian mixed-effects regression. arXiv. Code.
• Alex Kipnis, Konstantinos Voudouris, Luca M. Schulze Buschoff, Eric Schulz (2025). metabench - A sparse benchmark of reasoning and knowledge in Large Language Models. ICLR 2025. Poster, Code.
• Marcel Binz, …, Alex Kipnis, …, Eric Schulz (2025). A foundation model to predict and capture human cognition. Nature.
• Heiko Schütt, Alex Kipnis, Jörn Diedrichsen, Nikolaus Kriegeskorte (2023). Statistical inference on representational geometries. eLife. Code.