cv

Previous stations of my life

Table of contents

Education

  • 10/2022 - 09/2026

    Delft, Netherlands

    PhD Student
    Technische Universiteit Delft
    Algorithmics Group, with Prof. Sebastijan Dumančić
    • Thesis topic: Neuro-Symbolic Program Synthesis
  • 10/2016 - 09/2022

    Dresden, Germany

    Diplom Informatik
    Dresden University of Technology
    • Diploma course Informatics, Minor: Mathematics
  • 10/2015 - 09/2016

    Berlin, Germany

    Student of Human Medicine
    Charité Berlin

Internships and Additional Research Experience

  • 04/2022 - 09/2022

    Thuwal, Saudi Arabia

    Remote Visiting Student/Researcher
    King Abdullah University of Science and Technology (KAUST)
    Bio-Ontology Research Group (Prof. Hoehndorf)
    • ALC reasoning and geometric semantics of ontologies and knowledge graphs
  • 01/2022 - 03/2022

    Cambridge, UK

    Guest Researcher
    University of Cambridge
    Department of Physiology, Development and Neuroscience (Prof. Schofield)
    • Predicting drug effects using Logic Tensor Networks over DTI-Voodoo
  • 06/2021 - 09/2022

    Leipzig, Germany

    Guest Researcher
    Max Planck Institute for Human Cognitive and Brain Sciences
    Neural Data Science and Statistical Computing Lab (Dr. Scherf)
    • Analysis of gene expression patterns in the mouse brain, Diploma thesis
  • 02/2020 - 07/2020

    Leipzig, Germany

    Internship
    Max Planck Institute for Mathematics in the Sciences
    Deep Learning Theory Group (Prof. Montufar)
    • Work on clustering of invariant information utilizing the Wasserstein norm
  • 09/2019 - 12/2019

    Thuwal, Saudi Arabia

    Internship
    King Abdullah University of Science and Technology (KAUST)
    Bio-Ontology Research Group (Prof. Hoehndorf)
    • Work on drug-target interaction prediction utilizing deep learning and graph learning methods across ontologies
  • 08/2019 - 12/2020

    Dresden, Germany

    Student Researcher
    Dresden University of Technology
    Institute for Medical Informatics and Biometry, Deep Learning Group (Dr. Scherf)
    • Work on cell tracking through utilization of ML methods