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 AI is a deadlock. Real progress in AI depends on finding something conceptually unexpected.
|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. Now he has his own research group as Director for Machine Intelligence at a large logistics company (GER). He works on philosophical problems on Language Analysis, Cognition and Autonomy and their implications to AI – particularly to NLP and Reinforcement Learning. He is editor for different mathematical journals.||Niklas Amadeus Wobetzky was trained as a Real Estate Management Assistant. He worked as a self-employed real-estate consultant for a few years and for 2 years as a real-estate consultant for one of the biggest banks in Germany. Currently he studies architecture at the Beuth University of Applied Science in Berlin and is specialized on design and graphics design.|
|Research Fellow||Research Fellow|
|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. Currently he holds a PostDoc position in financial mathematics at Ludwig–Maximilians–Universtität München. 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.||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.|
|Research Fellow||Research Fellow|
|Dr. Simon Martin studied mathematics and philosophy with degrees from the Universities of Hull and Brunel. He got his Ph.D. on multi-agent systems from the University of Portsmouth and become a specialist on complex problems and machine learning during his academic career with positions at the Middlesex University and the Universities of Southampton, Portsmouth and Stirling. Moreover he spend some years as a research engineer in leading technical companies. He currently works for an AI-company in UK as a specialist in Optimization and Machine Learning and is particularly interested in Intelligent Agents and how they might cooperate to solve complex problems. To this end he additionally works on problems in Autonomy, Philosophy of Mind, Cognitive Science and AI.||Dr. Alexander Pikovski studied in Berlin supported by a Scholarship of the German National Merit Foundation where he obtained a Master’s degree in theoretical physics and at the University of Cambridge (UK), where he obtained a Master in Advanced Studies in Mathematics. He got his Ph.D. in theoretical physics from Leibniz University Hannover in 2012, working in the field of ultracold gases and many-body dynamics. He worked as a researcher at the University of Hamburg, University of Colorado Boulder (US), and New York University Shanghai (China). He developed a new Monte-Carlo method for quantum many-body dynamics and worked on generalized symmetries. Dr. Alexander Pikovski is also specialized on Statistical Data Analysis, Quantitative Modeling, Image Reconstruction, Numerics and Algorithm Development. He is interested in generalized AI and new machine learning methods.|
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|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.||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. Other professional activities include advising family business owners and professional politicians.|
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