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The research of the Physics for Inference and Optimization group (2018–2024) focused on the understanding, optimizing and predicting relations between the microscopic and macroscopic properties of complex large-scale interacting systems. The group pursued this agenda by addressing application-oriented problems of inference and optimization on networks via developing models and algorithms derived from statistical physics principles.