Methods in Medical Informatics

Dr. Tobias Theska

Office C429
Email: tobias.theska [at] uni-tuebingen.de
 

Research Interests
  • Medical Informatics
  • Artificial Intelligence for Healthcare
  • Representation Learning
  • Genomics and Transcriptomics
  • Quantitative Morphology
     
Current Project
  • Using large biobank data and cutting-edge machine-learning algorithms, I am working to find meaningful joint representations of genomic information and electronic health records (EHRs), that can be used to improve downstream biomedical analyses like patient stratification, disease subtyping, and risk prediction.
     
Academic Degrees
  • Ph.D. in Biology, University of Tübingen, 2023.
    Thesis: Disentangling the Evolution of a Developmental Switch Network that Regulates Phenotypic Plasticity in a Morphological Novelty: a Nematode Evo-Devo Perspective
  • M.Sc. in Evolution, Ecology, and Systematics, Friedrich-Schiller-University Jena, Germany, 2018.
    Thesis: Vertebral developmental morphology in batrachian amphibians
  • B.Sc. in Biology, Friedrich-Schiller-University Jena, Germany, 2015.
    Thesis: Ontogeny of the direct-developing West African caecilian Idiocranium russeli (Lissamphibia: Gymnophiona: Indotyphlidae)
     
Fellowships and Awards
  • Postdoctoral Fellowship in “AI & Data Science” awarded by the University of Tübingen and Boehringer Ingelheim
  • Master’s Award of the Germany Zoological Society (DZG e.V.) for an outstanding Master’s Thesis in Zoology
  • Doctoral Fellowship in the International Max Planck Research School (IMPRS) “From Molecules to Organisms” awarded by the University of Tübingen and the Max Planck Institute for Biology Tübingen
     
Publications