I’m a postdoctoral researcher in machine learning at the Torr vision group (Philip Torr) at the University of Oxford (since March 2023), focusing on explainable and robust machine learning. Previously I was a doctoral candidate at the Technical University of Munich (TUM), where I worked on neural network explanation. My thesis referees were Prof. Bernt Schiele and Prof. Nassir Navab. Throughout my journey, I’ve had the opportunity to work on a wide range of fascinating topics in computer vision, deep learning, and their medical applications with Nassir Navab and Daniel Rueckert (TUM). Still lucky to be an affiliate researcher at the Munich Center for Machine Learning (MCML). When I’m not working on research, I love exploring the great outdoors.
- CVPRDo explanations explain? model knows bestIn Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
- CVPRNeural Response Interpretation through the Lens of Critical PathwaysIn Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2021
- NeurIPSFine-grained neural network explanation by identifying input features with predictive informationAdvances in Neural Information Processing Systems, 2021
- MICCAITowards Semantic Interpretation of Thoracic Disease and COVID-19 Diagnosis ModelsIn Medical Image Computing and Computer Assisted Intervention – MICCAI 2021, 2021