Dr. Dagmar Kainmüller

In my independent junior research group our goal is to pursue theoretical advances in machine learning and combinatorial optimization to solve challenging image analysis problems in biology.

Our aim is to facilitate scientific discovery via automated analysis of high-throughput microscopy data. We focus on capturing biological prior knowledge in machine learning models for accurate cell segmentation, annotation, and tracking, and develop computationally efficient solvers for the underlying optimization problems.

This way we leverage biological priors, such as the stereotyped lineage of C. Elegans and known shape properties of Drosophila neurons, in a mathematically sound and effective way.

Group: Kainmüller Lab
Topic: Biomedical Image Analysis
Institutions: Berlin Institute of Health (BIH); Max Delbrück Center for Molecular Medicine (MDC); IRI Life Sciences