We work internationally as an economically independent think tank and business incubator in the field of mathematics and related sciences – especially in the natural sciences.


As research fellows of Elements of Euclid we take the view that, inspired by the work of Alan Turing, the metaphor of signal processing as the currently dominant paradigm in machine learning is a deadlock. Real progress in AI depends on finding something conceptually unexpected.


Founder & CEO Research Fellow
Dr. Elmar Diederichs graduated in Physics, Analytical Philosophy and Law at the Georg-August-Universität Göttingen and got his Ph.D. in Mathematics from Freie Universität Berlin. Afterwards he had research positions at the Weierstrass Institute for Applied Analysis and Stochastics (WIAS) Berlin, the Department of Statistics at UC Berkeley (CA) and the Moscow Institute of Physics and Technology (MIPT) focused on Machine Learning and Predictive Data Analysis. Then he worked as Director for Machine Intelligence on Stochastic Analysis and complex problems in AI for a company in UK and had his own research group as Director for Machine Intelligence at a large logistics company (GER). Now he is Head of AI at a FinTech-Company. He works on philosophical problems on Language Analysis, Cognition and Autonomy and their implications to AI – particularly to NLP and Complex Systems. He is editor for different mathematical journals. Dr. Jan Gairing obtained his Ph.D. in Mathematics at Humboldt–Universität zu Berlin on the interplay between ergodic theory and stochastic analysis. He studied mathematics, physics and statistics in Germany, Japan and Brazil. After holding a PostDoc position in financial mathematics at Ludwig–Maximilians–Universtität München, he currently works as Senior Machine Learning Researcher at a FinTech-startup in Berlin. With his statistical background and as a dedicated programmer he seeks to deploy advanced mathematical techniques to understand complex connections in daily life, from climate models to financial markets to computer vision. Recently he started working on self-supervized learning algorithms on the border area of machine learning and dynamical systems. Currently he is Senior Machine Learning Scientist at a FinTech-Company.
Research Fellow Research Fellow
Ingbert Jüdt, M.A. studied Sociology and Political Sciences at the Ruperto Carola University Heidelberg with focus on cultural sociology and social theories. His master thesis was a comparative study of the works of Max Weber and Pierre Bourdieu. Being interested in programming, he afterwards worked as an IT-consultant, project supervisor and software developer mostly for major customers in the automotive, automation and instruments industries. Currently, he works on quantitative models in the social sciences and simulations of social processes. He is interested in connecting and integrating his sociological with his IT interests in the field of socionics and works on the sociological and ethical consequences of introducing AI-techniques in our society. Isabel Schwende is a consultant and project manager for computer vision projects, helping her clients turning blind computers and robots into smart technology being able to extract essential information from images and video automatically. She graduated from the University of Greifswald (Germany) with a Bachelor’s degree in Biomathematics and from the University of Aizu (Japan) with a Master’s degree in Computer Science. Then she worked as a researcher and technical consultant at the deep learning startup Leapmind Inc. in the center of Tokyo. In 2018, she co-founded Mobius Labs, with the vision to develop customizable AI to democratize the access to smart solutions for all industries. Isabel is passionate about computer vision applications since 2012 including medical image processing, robot control through vision and video analysis.
Research Fellow
Dr. Florian Willet holds several university degrees across law, economics, psychology and philosophy, from diverse universities in Israel, Belgium, the Netherlands and Germany. His mayor expertise lies in evolutionary behavioral economics. Furthermore, he has profound knowledge in game theory, neurocognitive anthropology, and communication psychology. To the projects of EoE he contributes mainly with insights from legal theory, in particular economic analysis and behavioral law and economics. Another focus of his research interests are behavioral economics projects that are supported by means of AI-techniques. Other professional activities include advising family business owners and professional politicians.


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