Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

Maxime Kayser

Maxime Kayser

Maxime Kayser

CDT Student

I grew up in Luxembourg and did my undergraduate degree in Engineering Science at the Technical University of Munich. After stints in consulting and finance, I developed an interest in machine learning and health during research work on automated polyp detection.
 
I am now a DPhil student under Thomas Lukasiewicz, in the Department of Computer Science. My research focuses on the interpretability, particularly at the intersection of language and vision. I want to to leverage the information contained in clinical reports to make medical image analysis more interpretable.