Daniel Scholz

Daniel Scholz is a Ph.D. candidate working with Prof. Rückert (AI in Medicine and Healthcare) and Prof. Benedikt Wiestler (Neuroradiology, AI for Image Guided Diagnosis and Therapy). He got his Bachelor's in Applied Computer Science from DHBW Mannheim and his Master's in Informatics from TUM. His research projects are all about medical image analysis, especially of the brain. He's particularly interested in semantic segmentation, imbalanced classification, generative modelling, and representation learning.

Topics for MSc Theses can always be discussed on inquiry.

Interests:

• Medical image analysis (mostly brain)
• Self-supervised representation learning
• Generative Models

Education:

• M.Sc. Informatics, 2022
  Technical University of Munich
• B.Sc. Applied Computer Science, 2019
  DHBW Mannheim