Scholar
Alexander S. Ecker
Google Scholar ID: VgYU_m8AAAAJ
University of Göttingen, Germany
Citations & Impact
Citations
15,944
H-index
37
i10-index
57
Publications
20
Co-authors
147
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Supervised multiple Bachelor's and Master's thesis projects; taught courses such as 'Current Topics in Deep Learning' and 'Deep Learning for Image Synthesis'.
Research Experience
- Currently leads the Neural Data Science group at the University of Göttingen; collaborates closely with several labs in Germany and the United States.
Background
- Research interests lie at the intersection of machine learning and computational neuroscience; developing new methods and algorithms to make sense of large-scale neuroscience data; working on novel approaches to computer vision based on insights gained from biological vision.
Miscellany
- The team currently consists of 14 PhD students and 2 postdocs; has specific requirements for students interested in joining the lab, including substantial knowledge in machine learning, its mathematical foundations, and Python programming.
