· Working on self-configuring medical object detection and instance segmentation methods· Developed novel methods which ranked highly in multiple international challenges· Deployment of state-of-the-art neural networks into clinical applications· Member of five internal advisory committees of PhD students and three Master students.

· Work on computer aided detection and classification methods for breast cancer diagnosis· Develop neural networks to classify suspicious lesions in a large cohort of 5000 MRI scans

· Design computer vision based algorithms to identify extraordinary road situations on highways· Web based scraping of data including data cleaning and training of neural networks with Tensorflow· Creation of hardware-in-the-loop test scenarios for improved turnaround times