معرفی
Dr. Christian Schiffer is a Research Fellow at the Research Centre Jülich, leading the 'Large-scale AI for Brain Mapping' team within the Institute of Neuroscience and Medicine (INM-1). His work focuses on developing deep learning algorithms for automated analysis of cytoarchitectonic brain structures using high-resolution histological data. He heads the Helmholtz AI Young Investigator Group, which integrates contrastive learning, graph neural networks, and high-performance computing (HPC) workflows to advance brain mapping technologies.
His research applies methods like convolutional neural networks (CNNs) and generative models to extract microstructural features from petabyte-scale microscopy datasets. Key contributions include 3D cytoarchitectonic mapping, integrating topology with histological data, and improving computational efficiency for large-scale neuroimaging analysis. Schiffer also collaborates with the 'Big Data Analytics' group, advancing tools for 3D reconstruction and interactive AI applications in neuroscience.
Notably, he received the Helmholtz AI Award 2023 for his contributions to AI-driven neuroscience. His work bridges artificial intelligence, supercomputing, and neuroanatomy to create data-driven brain atlases, enabling deeper insights into brain connectivity and function. Schiffer’s group actively contributes to open-source tools like the Julich-Brain platform and participates in initiatives such as the 'BigBrain' project.
