Applied Statistics and Data Science
Research Group
- Algebraic Geometry
- Algebraic Topology and its Applications
- Analysis and Geometry
- Applied Statistics and Data Science
- Artificial Intelligence and Machine Learning
- Computational Mathematics
- Digital Economy
- General Relativity and Partial Differential Equations
- Geometry, Intelligent Control, and Bioinformatics Interdisciplinary
- Math Engineering
- Mathematical Physics
- Number Theory and Representation Theory
- Probability
- Quantum Fields and Strings
- Quantum Symmetry
Introduction
In statistics, we proposed the functional mapping theory for complex traits for the first time internationally, and derived a series of statistical models and algorithms for dynamic trait gene localization. The significant innovation is the use of interdisciplinary methods to develop computational models to analyze the genetic regulatory mechanisms of biological growth, development, and evolution. The group has published 3 monographs and 350 SCI papers, with a total impact factor of over 1500.
PI
Administrator
Faculty
Postdocs