N-of-1 trials methodology, particularly the development of deep learning models for n-of-1 studies including suitable hypothesis tests; furthermore causal inference, average effect estimation for aggregated n-of-1 trials, adaptive trials.

Current Project(s):

• Using imaging data as outcome measures in n-of-1 trials
  • research seminar in WS 22/23

• research seminar in WS22/23, topic: development of classification models for imaging outcome data in n-of-1 trials
• supervision of master thesis, topics: blood glucose prediction and indices estimation in diabetes (2022/2023)
• supervision of master project in SS22, topic: improvement of user journey in the StudyU designer app