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.

Zimai is a biologist interested in collective behaviour in social beings. Currently, Zimai is working on the BeesBook project to investigate the sublethal effects of pesticides on honeybees.

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 perceptually motivated approaches for training neural audio compression and synthesis. The main focus is integrating psychoacoustic research into the model architectures and loss formulations.

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.

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 PhD student working on interpretability research. He is interested in XAI and the crossing of symbolic and non-symbolic methods.

Daniele is a physicist and a PhD student in Data Science, interested in complex systems and collective behaviour. He uses video analysis, computer vision and machine learning to study movement and interactions in humans, animals and sports; with current research at the Landgraf Lab focusing on collective behaviour in bees.

Developing video instance segmentation (VIS) methods to analyse the behaviour of alveolar macrophages in microscopy time-lapse recordings. The cells’ reaction to fibrous materials forms the basis for an in vitro hazard assessment as an alternative to animal testing.

Working on Multi-Agent Reinforcement Learning for security of maritime critical infrastructure. The aim is to study how agents perform differently when given access to modify their own sensing parameters and how this ability can be utilized.

Chiara works full-time on the BeesBook project, studying how pesticides affect the behavior of individual bees and of the colony as a whole.