Experience

  1. Postdoctoral Researcher

    University of Münster
    • Researching machine learning applications in translational psychiatry.
    • Developing tools for neuroimaging-based prediction models.
    • Teaching machine learning and neuroscience courses.
  2. Research Associate (PhD)

    University of Münster
    • Conducted research on predictive modeling in mental health.
  3. Research Stay

    University College London
    • Worked on Canonical Correlation Analysis and Partial Least Squares Regression for Brain-Behavior Associations.
    • Funded by DAAD.

Education

  1. PhD Psychology (rer. nat.), summa cum laude

    University of Münster
    Thesis: Towards Precision Psychiatry: From Univariate to Multivariate Biomarkers of Major Depressive Disorder Supervised by Prof. Dr. Tim Hahn, Prof. Dr. Dr. Udo Dannlowski, and Prof. Dr. Niko Busch.
  2. Doctoral Studies in Medical Sciences (rer. medic.)

    University of Münster
    Thesis: Uncovering Brain-Behavior Relationships using Canonical Correlation Analysis Supervised by Prof. Dr. Tim Hahn, Prof. Dr. Dr. Udo Dannlowski, and Prof. Dr. Andre Karch.
  3. M.Sc. Psychology

    University of Frankfurt
    Cognitive Neuroscience Major, Clinical Psychology Minor. Thesis: Learning Hierarchical Feature Representations in the Brain: A Deep Learning Approach to Resting-State fMRI Analyses. Supervised by Prof. Dr. Tim Hahn and Prof. Dr. Sabine Windmann.
  4. B.Sc. Psychology

    University of Frankfurt
    Thesis: Facial width-to-height ratio differs by social rank across organizations, countries, and value systems. Supervised by Prof. Dr. Tim Hahn and Prof. Dr. Sabine Windmann.
Skills & Hobbies
Awards
Paper of the Month
Medical Faculty, University of Münster ∙ January 2022
Awarded for publication in JAMA Psychiatry on brain structure deviations in Major Depressive Disorder.
Merit Award
Organization of Human Brain Mapping ∙ January 2022
Exceptional abstract at OHBM Annual Meeting 2022, Glasgow, UK ($2000).
DAAD Research Stipend
German Academic Exchange Service (DAAD) ∙ January 2020
Funded research stay at University College London (€3083).
Languages