Profile

Jessie Bader is a PhD researcher in the Explainable Machine Learning group supervised by Zeynep Akata at the Technical University of Munich, starting in 2024. She completed her Master’s degree in Machine Learning at the University of Tübingen in 2023 and her Bachelor’s degree in Computer Engineering at Iowa State University in 2020.

Her primary research interests are in effective generalization after distribution shifts. Some topics she has worked on include Visual Question Answering, Compositional Zero-Shot Learning, Deep Metric Learning, and Sketch-Based Image Retrieval.