Kilian Zepf

Position: PhD Student at DTU Compute
Categories: Computer Science, Mathematics
Location: Copenhagen, Frederiksberg, and vicinity (1000-2999)

Background

I am a final year PhD student at DTU Compute. My work is focused on meaningful uncertainty quantification for deep generative segmentation models, especially for applications in medical image analysis. I am supervised by Aasa Feragen and Jes Frellsen and funded by the Center for Basic Machine Learning Research in Life Science (MLLS). I am part of the Pioneer Centre for AI in Copenhagen. Previously to my PhD studies, I obtained a B.Sc. and M.Sc. in Mathematics and Management from Ulm University, where I specialized in financial modelling and machine learning. I wrote my thesis on a text mining method for analyzing conversational data. During my studies, I did internships in equity derivative trading and exchange traded funds structuring.

Motivation

In my career so far, I have found it very valuable to speak to people as much as possible, especially before important decisions such as pursuing a PhD or not. While I believe you should always be careful with advice from others who do not bear any of the consequences of your decision, I am convinced that one can nothing but profit from new perspectives. I think this initiative hits the spot and is a great opportunity for both sides to learn. Helping young scientists find their way towards work or a project they will enjoy is time well spent. In my career so far I have found it very valuable to speak to people as much as possible, especially before making important decisions such as pursuing a PhD or not. While I believe you should always be careful with advice from others who do not bear any of the consequences of your decision, I am convinced that one can nothing but profit from new perspectives. I think this initiative hits the spot and is a great opportunity for both sides to learn

Skills, expertise, and interests

  • Data science
  • Data analytics
  • Data mining
  • Machine learning
  • Deep learning
  • Artificial intelligence
  • Computer vision
  • Statistics and mathematics
  • Economics, finance, and business
  • PhD advice

Programming languages and software

  • Python
  • SQL
  • Excel
  • Shell Scripting (e.g., Bash)