Published a conference paper titled 'FaCT: Faithful Concept Traces for Explaining Neural Network Decisions' at NeurIPS 2025.
Research Experience
Currently a PhD student at D2, working on research about explaining the decisions of deep networks. Previously, worked as a Research Assistant (Hiwi) on projects that explored using explanation methods to guide model training.
Education
Master's degree in Visual Computing from Saarland University, supervised by Dr. Moritz Böhle and Sukrut Rao.
Background
Research interests: Explaining how deep networks function and finding explicit design choices to make them more interpretable. Field of expertise: Computer Vision and Machine Learning.
Miscellany
For further information, kindly refer to his Personal Webpage, Google Scholar, and LinkedIn.