Susanne is project assistant and secretary for all PIs at Dahlem Center for Machine Learning and Robotics (DCMLR).

Tim is Professor of Artificial & Collective Intelligence at Freie Universität Berlin where he teaches and studies different aspects of intelligent systems. In interdisciplinary projects, his lab investigates the individual and collective intelligence of model organisms, and develops new tools and ML algorithms. He is also active in the startup scene, as a mentor to several startups in Berlin and as a tech advisor to investors.

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.

PhD student in the BeesBook project, mainly busy developing machine learning solutions for behavioral recognition.

Lukas is a Research Assistant who focuses on developing and implementing chatbot systems for the PatraKiP and PIA projects. His role encompasses engineering software architectures, fine-tuning large language models, and coordinating with academic and clinical partners.

Manuel is working on Model Interpretability (XAI) and Continual Learning. He aims to utilize the understanding of the model’s decision-making to push the boundaries of (online) continual learning.

Marie is biologist by training and has previously worked with Randolf Menzel on the effects of nicotinoids on foraging behavior of honey bees. She is now working in the Hiveopolis project, evaluating hive-augmenting tech in living bee colonies.

Working on Reinforcement Learning in the RoboFish project to investigate fish interaction behavior.

Working on novel methods for intrinsic motivation in model-based Reinforcement Learning and applying them in the RoboFish project.

Modeling of weakly electric fish. Developing software, writing specification, maintaining continuous integration.

Youssef is a Data science Master student , He works on interpretability research and is interested in XAI and the crossing of symbolic and non-symbolic methods.