Methods in Medical Informatics

Jacqueline Wistuba-Hamprecht (née Schmidt)

Email: jacqueline.wistuba-hamprechtspam prevention@uni-tuebingen.de
 

Research Interests
  • Statistical Learning
  • Kernel Methods
  • Machine Learning for Infectious Diseases
  • Immunology
     
Academic Degrees
  • M.Sc. in Bioinformatics, University of Tuebingen, Germany, 2018.
    Thesis: Predicting malaria vaccine efficacy from anti-plasmodial antibody profile(s)
  • B.Sc. in Biology, University of Tuebingen, Germany, 2014.