Prof. Dr. Christoph Lippert


The Health Intervention Analytics Lab is a junior research group headed by Dr. Stefan Konigorski, Senior Researcher in the chair of Digital Health & Machine Learning and Adjunct Assistant Professor at the Icahn School of Medicine at Mount Sinai in New York.

The group was founded in May 2021 and is pioneering work on open source tools to perform N-of-1 trials in order to investigate the effect of digital health interventions on an individual level. We have developed the StudyU platform and StudyMe app that allow researchers, physicians and citizens to easily design and conduct N-of-1 trials and find out if health interventions have an effect. The aim is to allow everyone to setup and conduct N-of-1 trials digitally and support open, reproducible science through the platform. 

These software tools provide empirical clinical data for our methodological work on statistical and machine learning methods to analyze the resulting complex time series data. We employ methods from causal inference by viewing the data embedded in its causal structure. Further analytic methods of interest encompass clinical risk prediction models. 

New study on diabetes

In the Health Intervention Analytics Lab at the Chair of Digital Health & Machine Learning, we are starting a new study on diabetes. The goal is to better understand how food, insulin, and exercise affect blood glucose levels in people with type 1 diabetes. This is essential to create better, individualized therapy.  To do this, we are developing AI models based on causal inference and prediction models, and testing them with data from patients. We are collaborating with GlucoFit, a Berlin-based startup that aims to create a digital assistant for diabetics. We are still looking for test persons who would like to participate in the two-week, remunerated study. The study will be conducted fully digitally, visits to Potsdam or Berlin are not necessary. Details are available here: https://glucofit.de/lass-uns-diabetes-besser-verstehen/.

Open positions

We are looking for interested Master students and HiWis to support our work on apps (StudyU, StudyMe) and our work on statistical & machine learning models for their analysis. See here for more details.




  • Alexander Zenner (Master student 2020-21, now at Google)
  • Nils Strelow (Master student 2020-21, now at Google)
  • Lukas Ehrig (Master student 2021)
  • Mohammad Wasil Saleem (Master student 2021)