PhD Student - HU Berlin, FU Berlin, Uni Lübeck

Working on agent-based fish models, using machine learning to bridge the gap between the swarm behavior and the individual behavior. Observer bias is avoided, by training the behavior directly from recordings of real fish. An additional topic is extending attribution methods to explain the models on different time- and swarm scales.
Affiliations
- Freie Universität Berlin - Landgraf Lab
- Humboldt Universität zu Berlin- Romanczuk Lab
- Universität Lübeck - Institut für technische Informatik - Heiko Hamann
Sponsorships
Repositories
- robofish.io - Store and use swarm data in a unified way. The documentation is available here
- goban-svg - Create vector graphics of go boards.
Publications
Contact
Email: | info@agerken.de |
Twitter: | @andi_gerken |