Nil Stolt-Ansó

Nil Stolt-Ansó is a Doctoral researcher at the chair for Artificial Intelligence in Medicine and a member of the Munich Center for Machine Learning (MCML). He studied Artificial Intelligence with a focus on Machine Learning at the University of Amsterdam (UvA), receiving his M.Sc. in 2020. Prior to starting his PhD, Nil worked in the medical imaging industry, focusing on topics such as blood vessel segmentation, myocardial tissue tracking, and cardiac phase modelling. His current interests concern the application of geometric deep learning to imaging tasks.

Interests:

• Medical Image Segmentation
• Image Registration
• Geometric Deep Learning

Education:

• Artificial Intelligence (M.Sc.), 2020
  University of Amsterdam
• Artificial Intelligence (B.Sc.), 2018
  University of Groningen