Alexander Ecker

UnivProf. Dr. Alexander Ecker is a full Professor at the Institute of Computer Science, University of Göttingen. He holds leadership roles including Head of the Neural Data Science group and Board membership in the Campus Institute Data Science (CIDAS). His work bridges computer science and neuroscience, focusing on machine learning, computational neuroscience, and data-driven modeling of biological systems.

Research interests include:

• Machine learning applications in vision science and neuroimaging
• Neural data science: analyzing large-scale neural population activity
• Deep learning techniques for environmental sensing and microscopy
• Computational models of primate visual systems and behavior

Recent articles emphasize:

• Pioneering transformer-based approaches for tree detection in satellite imagery
• Unsupervised neuronal clustering and functional connectivity analysis
• Development of state-of-the-art tracking models for primates in natural habitats
• Advances in holographic imaging and microparticle analysis via CNNs

Teaching responsibilities include courses like Machine Learning (lecture & exercises), Scientific Writing, and Advanced Seminar in Neural Data Science.

Laboratory affiliations include the Neural Data Science group and CIDAS, driving interdisciplinary projects in data science and computational neuroscience.