讲座题目：Learning Spatiotemporal Dynamics of Complex Systems

主 讲 人：邹秀芬 教授（武汉大学）

讲座时间：2026年10月23日（周五）上午10:00

讲座地点：钱伟长楼 201会议室

欢迎有兴趣的师生前来聆听、交流。

数学与数据科学学院

2026年10月19日

讲座内容简介：

Complex biological systems generate data across multiple spatial and temporal scales, but learning their underlying dynamics remains challenging because mechanistic models and data-driven approaches often operate separately. In this talk, I will present our recent efforts to integrate mathematical modeling with multiscale data for learning spatiotemporal dynamics. First, I will introduce our recent work on tumor–immune interactions, where reaction–diffusion modeling is combined with spatial transcriptomics to uncover transient immune spatial patterns and their association with patient prognosis. I will then present a multiscale Universal Differential Equation (UDE) framework that integrates mechanistic structure with heterogeneous data, including snapshot measurements, spatial transcriptomics, and population-level time series. These studies aim to build interpretable, data-informed dynamical models that connect multiple scales and provide a unified framework for prediction, mechanism discovery, and personalized intervention in complex systems

.主讲人简介：

邹秀芬, 武汉大学数学与统计学院二级教授，博士生导师。长期从事数学与生物医学等交叉学科研究。近年来主持承担了国家自然科学基金重点项目、面上项目和科技部重大研究计划课题等科研课题。在复杂疾病的海量数据集成、多尺度建模和人工智能算法等方面取得了一系列成果，已在PNAS, Nucleic Acids Research, PLOS Computational biology, IEEE Transactions on Biomedical Engineering, SIAM Journal on Applied Mathematics等国际重要学术期刊上发表相关的学术论文。