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.

Working on machine learning methods that help us to better understand complex systems, in particular collective intelligence in honey bees in the BeesBook project.

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

Emily is a visiting researcher with the Fulbright fellowship. She will be working on the ElektroFish project, to better understand electric communication signals between weakly electric fish.

Julia is a computer scientist and works as a research assistant in the Hiveopolis project, developing machine learning methods to better understand the collective behavior of honey bees.

My goal is to develop interpretable ML methods that can be used for real-world scientific problems. To archive this goal, I work on a theoretical foundation of interpretable ML. An explanation with a correctness guarantee would be highly valuable to a scientist.

Luis is currently researching ways of improving the stability of neural network training for his Master Thesis at Tim’s lab. He has also been supporting Professor Landgraf with the Machine Learning lectures and is working on a collaboration between Professor Landgraf’s lab and Professor Eils’ lab at Berlin Institute of Health by Charité to use the power of Machine Learning for improving illness prediction from genetic data.

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.

Sascha is software developer with a focus in machine learning and explainable AI. Currently, he is employed in project “PetraKIP” and responsible for the design, development and maintenance of the server infrastructure.

Veronika is working with Natural Language processing methods on the PetraKIP project (Persönliches transparentes KI-basiertes Portfolio für die Lehrerbildung). Her PhD thesis focuses on the ways linguistic knowledge can be used for explainability and transparency in ethicly sensible fields such as hate speech and propaganda detection and automated essay scoring.

Wero is a research assistant in the Hiveopolis project, using machine learning methods to investigate the group dynamics of honeybees.

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.

Diana is a student assistant, currently helping with the project Open Make regarding open source hardware. They are also a Master’s Student in Cognitive Neurosciences at the Freie Universität Berlin, with a background in Psychology and Mathematics. Their main interest lies in the study of neural networks, social psychology, and making science open and available to everyone.

Fernando is a linguistics master student interested in computational linguistics. He is currently working as a student assistant in the PetraKIP project, assisting with the annotation.