Prof. Dr. Christoph Lippert

Causal Inference and Prediction Models

  • Causal inference in prediction models
  • Estimating and testing in directed acyclic graphs


Methodology for Innovative Clinical Trial Designs

  • Causal inference for N-of-1 trials
  • Adaptive N-of-1 trials
  • Multimodal N-of-1 trials
  • Micro-randomized trials and reinforcement learning agents


StudyU Platform and Clinical N-of-1 Trials

  • StudyU platform
  • StudyMe app
  • Clinical studies running on the StudyU platform



    • Improve women's health with a digitally supported care model for girls and young women with menstrual pain
    • Validate existing and develop novel prognostic clinical prediction models for endometriosis


    Digital Health Apps

    • Fetal alcohol spectrum disorder screening
    • Animated Alcohol Assessment


    Medical Imaging - Reducing the dependency on expert supervision

    • CLASSIFAI - Usable Active Learning for medical image segmentation
    • Self-Supervised Learning for Medical Imaging
    • Generative Adversarial Networks for Medical Imaging


    Evaluation of Medical AI

    • Computer-aided digital chest radiograph (CXR) interpretation


    Statistical Methods for Genetics and Genomics

    • Statistical hypothesis testing in deep learning models
    • Fast kernel-based genome-wide association tests
    • International consortium for integrative genomics prediction (INTERVENE)


    Deep probabilistic models


    CovMap - Modeling SARS-Cov Infection Risk based on GPS Data 

    • We are developing methods for the statistical analysis of large biomedical data.


    KI Kompetenzzentrum Mittelstand

    • Within the Kompetenzzentrum Mittelstand Berlin, we support SMEs to identify use cases for AI technologies in their company (https://gemeinsam-digital.de/)