Dr. Jan Hendrik Metzen

I am a Research Scientist at Prior Labs, where I develop the next generation of tabular foundation models. My work focuses on scalable pretraining, novel architectures, and scaling laws. I contribute to TabPFN-3, which scales tabular foundation models to datasets with up to one million training rows while substantially accelerating training and inference.

Previously, I was a Senior AI Researcher in Aleph Alpha Research’s Foundation Models team, working on efficient LLM pretraining, tokenizer-free architectures, and large-scale optimization. Before that, I was a Senior Expert at the Bosch Center for Artificial Intelligence, where my research centered on robust and reliable computer vision, neural architecture search, and synthetic data.

My broader interests span efficient and reliable machine learning, AutoML, and open-source software. I am an ELLIS member, an ELIZA Industrial Fellow, and an Area Chair for NeurIPS 2026. I have also contributed to scikit-learn, including its probability-calibration, kernel-ridge, and Gaussian-process modules.

I live in Böblingen and work in Freiburg. Outside research, I enjoy spending time with my wife and our three children. I am always happy to connect with people working on tabular foundation models, scalable pretraining, efficient or tokenizer-free architectures, and open-source machine learning.