David Schnurr

Working on enhancing computer vision pipeline for advanced air defense applications.

Worked in the Machine learning lab at the University of Freiburg. ∗ Actively contributed to the development and optimization of the TabPFN codebase. ∗ TabPFN is a state-of-the-art transformer-based machine-learning model for tabular classification.

Major in Machine Intelligence and minor in Data Management

Grade: 1.1 (Excellent) - German Grading System Thesis: ”Drift-Resilient TabPFN: A Unified Bayesian Framework for Temporal Domain Generalization” ∗ Advanced the TabPFN machine learning model to reason about temporal domains in tabular data ∗ Achieved very competitive performance in this setting compared to all baselines ∗ Awarded the highest possible grade Specialized in Machine Learning with additional expertise in Algorithm Theory, Distributed Systems, and Business Fundamentals.