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Cybermedia Center
Interdisciplinary Computational Physics Group
Research Interests
Statistical mechanics of machine learning and design: from deep learning to biological evolutions
Physics of amorphous solids: glass and jamming transitions
Statistical mechanics of inference, constraint satisfaction problems, and optimization problems
Introduction to the research interests

Various interdisciplinary subjects, e.g., machine learning based on deep neural networks, and physics of disordered systems are studied in the light of statistical mechanics and computational physics. Although the subjects seem to be quite different from each other, at first glance, they share the same key concepts: their complex behaviors emerge from the complex interactions among large number of relatively simple elements.