In the era of big data and artificial intelligence, statistical theory is not only an analytical tool but also a language for understanding the world. The layout of our department in this direction aims to seize the commanding heights of the future of data science.

We focus on core areas such as high - dimensional statistical inference, Bayesian methods, and causal inference, and develop mathematical foundations and methodologies for complex data systems, providing a solid theoretical basis for data science and artificial intelligence.

Our theoretical research does not merely stop at mathematical derivations. Instead, we place greater emphasis on its in - depth integration with machine learning. We are committed to building a theoretical system that is "interpretable, computable, and provable", providing indispensable underlying logical support for national strategic fields such as trustworthy artificial intelligence, precision medicine, and fintech. Truly, the height of our theory determines the depth of its application.