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.
Oana Iuliana Popescu
My PhD thesis focuses on explainable AI for graph neural networks with theoretical guarantees and the application of these methods to different domains like social networks and climate data. In parallel, I am working on the Petra-KIP (Persönliches transparentes KI-basiertes Portfolio für die Lehrerbildung) project which aims to assist students in their learning process with AI-supported self-reflection methods.
Diana Paola Americano Guerrero
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.
Master Student / Student Assistant
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.