AI Campus Hub Berlin
Led by the Stifterverband, the AI Campus - together with Charité, the German Research Center for Artificial Intelligence (DFKI), and Humboldt University of Berlin - is establishing a regional hub in Berlin.
The AI Campus Hub Berlin focuses on regional knowledge and science transfer in the field of AI, working closely with the Berlin University Alliance as well as partners from business and politics. Through a variety of networking activities, regionally tailored learning opportunities, and the implementation of blended learning concepts at universities and other educational institutions, the AI Campus Hub Berlin actively supports the advancement of digital education in AI.
If you are interested in discussing AI education in the Berlin region or would like to join our regular events, we would love to hear from you. Further partnerships are always welcome. Just send us a message at community@ki-campus.org.
Kerstin Ritter is a Full Professor of Machine Learning for Clinical Neuroscience at the University of Tübingen, Director at the Hertie Institute for AI in Brain Health, and a member of the Steering Committee of the Tübingen AI Center. Previously, she was a Junior Professor of Computational Neuroscience at the Department of Psychiatry and Neroscience at Charité – Universitätsmedizin Berlin and at the Bernstein Center for Computational Neuroscience. Her research focuses on the use of modern AI methods to analyze multimodal data in order to improve the diagnosis, prognosis, and personalized treatment of neurological and psychiatric disorders.
KI-Campus 2.0 – Einfach, kostenlos & digital KI lernen
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Dr. Aljoscha Burchardt is Principal Researcher, Research Fellow and Deputy Spokesperson of the German Research Center for Artificial Intelligence (DFKI GmbH) in Berlin. He is an expert in language technology and artificial intelligence. He was also an expert member of the Enquete Commission "Artificial Intelligence" of the German Bundestag.
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Christian Stussak leads the development of digital exhibits at IMAGINARY, a non-profit organisation for the communication of modern mathematics. He completed his doctorate in computational geometry and visualisation at the University of Halle (Saale) and has been working in the field of interactive and participatory knowledge transfer since 2007.
His main focus is on the software- and hardware-based planning and implementation of exhibits and their integration into exhibitions in physical as well as virtual space. He uses a wide range of tools, from web technologies to microcontroller programming.
Antonia Mey, a physicist by training, is a Chancellor’s Fellow in the School of Chemistry at the University of Edinburgh, where she leads a research group working in the area of computational biophysics and machine learning to understand how proteins function at an atomistic level.
She first started working with IMAGINARY as a freelance project manager in 2014 and has contributed to various exhibitions and workshops around the world on different mathematical topics including most recently giving a talk on AI at the Heidelberg Laureate Forum in 2022.
In general, Antonia is an advocate for open-source software not just in the scope of mathematics outreach. She is an editor for the Living Journal of Molecular Sciences and the Journal of Open Source Software promoting Dimond open access publication styles.
Methods of AI – Machine Learning
Andreas Daniel Matt is the director of IMAGINARY, a non-profit organisation for the communication of modern mathematics. He holds a PhD in Machine Learning (Reinforcement Learning) from the Universidad de Buenos Aires and the University of Innsbruck and has 18 years of experience in interactive and participatory knowledge transfer. He worked at the Mathematical Research Institute Oberwolfach from 2007 to 2016 and co-founded IMAGINARY. His work has been awarded the Media Prize of the German Mathematical Society 2013 and the ECSITE Mariano Gago Award 2020, among others.