PhD student
+49 2461/61-5960
Forschungszentrum Jülich GmbH
Wilhelm-Johnen-Straße
52428 Jülich
Institute of Neurosciences and Medicine (INM)
Structural and Functional Organisation of the Brain (INM-1)
Building 15.9 / Room 3028
I develop deep learning methods for integrating microscopic brain imaging data into reference atlases. Instead of relying on classical registration, which requires anatomical landmarks that small tissue samples often lack, I train neural networks with self-supervised objectives to learn features that capture anatomical organization. Unseen histological patches can then be localized by semantic similarity to annotated reference data. I am extending this idea across imaging modalities to enable integration of heterogeneous microscopy data into common frameworks such as MNI Colin27.
