What We Do
We adopt an interdisciplinary approach for the analysis and forecast of complex systems. Understanding and modeling complex systems require integrating different disciplines with mathematics being the unifying language.
We are also committed to reproducible, open-source and high-performance software as it is a cornerstone of modern science. All our codes related to scientific publications are freely available at github.com/MathEXLab.
To cite Galileo Galilei , in Il Saggiatore (1623): ‘Philosophy [i.e., natural philosophy or physics] is written in this grand book — I mean the universe — which stands continually open to our gaze, but it cannot be understood unless one first learns to comprehend the language and interpret the characters in which it is written. It is written in the language of mathematics, and its characters are triangles, circles, and other geometrical figures, without which it is humanly impossible to understand a single word of it; without these, one is wandering around in a dark labyrinth.’
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Publications from MathEXLab.

CondensNet: enabling stable long-term climate simulations via hybrid deep learning models with adaptive physical constraints
Deep learning is increasingly being used to emulate cloud and convection processes in climate models, offering a faster …

OmniSapiens: A Foundation Model for Social Behavior Processing via Heterogeneity-Aware Relative Policy Optimization
Building a first-of-its kind multimodal foundation model for understanding and recognising human behaviors via reasoning …

Time-lagged recurrence: A data-driven method to estimate the predictability of dynamical systems
This work contributes to better understand the state-dependent predictability of complex dynamicalsystems across …