Prof. Dr. Alexander Ecker

Campus Institut Data Science (CIDAS), Georg-August-University Göttingen

Email
alexander.ecker@caimed.de
ORCID

0000-0003-2392-5105

Biomedical Image Recognition AI & Signals

Alexander Ecker is a professor of data science at the Institute of Computer Science and board member of the Campus Institute Data Science (CIDAS) at the University of Göttingen. His research focuses on visual information processing in brains and machines. Together with his team he develops machine learning methods to make sense of large-scale neuroscience data.

"At CAIMed we develop modern machine learning methods to deal with large-scale spatiotemporal image data and to connect them to other data modalities to advance medicine."