Photo of Paul Brunzema

Paul Brunzema

PhD Student

Institute for Data Science in Mechanical Engineering (DSME), RWTH Aachen University

I am a PhD student at the Institute for Data Science in Mechanical Engineering (DSME) at RWTH Aachen University, supervised by Sebastian Trimpe, since March 2022. Since September 2023, I am also an associate doctoral researcher in the UnRAVel Research Training Group, funded by the DFG.

Currently, I am a research scientist intern at Meta in New York, NY working on Bayesian optimization and AutoML. In summer 2025, I joined the EPIC group at Toyota Research Institute (TRI) in Los Altos, CA as a research intern, working on autonomous racing in changing conditions.

My research focuses on uncertainty quantification (Gaussian processes, Bayesian neural networks) and sequential decision-making (Bayesian optimization, control, reinforcement learning).

Selected Publications

All publications →
Vision-Conditioned Variational Bayesian Last Layer Dynamics Models preview
2026

Vision-Conditioned Variational Bayesian Last Layer Dynamics Models

Paul Brunzema, Thomas Lew, Ray Zhang, Takeru Shirasawa, John Subosits, Marcus Greiff

arXiv preprint arXiv:2601.09178

Event-Triggered Time-Varying Bayesian Optimization preview
2025

Event-Triggered Time-Varying Bayesian Optimization

Paul Brunzema, Alexander von Rohr, Friedrich Solowjow, Sebastian Trimpe

Transactions on Machine Learning Research (TMLR)

Bayesian Optimization via Continual Variational Last Layer Training preview
2025 Spotlight

Bayesian Optimization via Continual Variational Last Layer Training

Paul Brunzema, Mikkel Jordahn, John Willes, Sebastian Trimpe, Jasper Snoek, James Harrison

International Conference on Learning Representations (ICLR)

BayeSQP: Bayesian Optimization through Sequential Quadratic Programming preview
2025 Spotlight

BayeSQP: Bayesian Optimization through Sequential Quadratic Programming

Paul Brunzema, Sebastian Trimpe

Advances in Neural Information Processing Systems (NeurIPS)