Scholar
Jakob Macke
Google Scholar ID: FKOqtF8AAAAJ
Machine Learning in Science, Tübingen University
Citations & Impact
Citations
6,122
H-index
36
i10-index
69
Publications
20
Co-authors
94
list available
Contact
No contact links provided.
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Background
- Aims to accelerate scientific discovery using machine learning and artificial intelligence
- Develops computational methods to help scientists interpret empirical data and gain scientific insights
- Closely collaborates with experimental researchers from various disciplines
- Particularly interested in applications in the neurosciences: builds data-driven mechanistic models to understand how neuronal networks process sensory information and control intelligent behavior
- Affiliated with the Excellence Cluster Machine Learning Tübingen and the Tübingen AI Center
