Currently a Post-Doctoral researcher in the Explainable Machine Learning group at TUM and Helmholtz Munich, led by Prof. Zeynep Akata.
Current research focuses on Uncertainty and Explainability in Deep Learning models.
PhD research centered on Few-shot Learning and Meta-Learning, specifically applied to Object Detection and Image Segmentation.
General research interests include Deep Representation Learning applied in Computer Vision.
As a Master's student, worked on Adversarial attacks and defenses for Person Re-Identification using Deep Metric Learning, as well as Image Classification.