【专家简介】：薛兰，美国俄勒冈州立大学统计系教授，系主任。
研究方向: Nonparametric Curve Estimation, Polynomial Spline Soothing, Model Selection, Medical lmaging, Network data analysis, Functional data with measurement. errors, Longitudinal/cluster data analysis.
获奖：2024年Review of Regional Studies最佳论文奖；2015年俄勒冈州立大学的杰出学者奖；2007年国际统计协会Elected Fellow.
【报告摘要】：Understanding the dynamics of microbiomes is essential for diagnosing, treating, and preventingdisease, as well as for monitoring ecosystem and population health, While current research ofterfocuses on individual microbes or entire microbial communities, an important intermediatescale-microbial functional groups-remains underexplored. These groups, composed of interactingtaxa with shared ecological roles, may serve as key biomarkers and therapeutic targets. This projecaddresses the need for novel analytical tools to identify such groups by advancing cluster analysi.methods tailored to the uniaue characteristics of longitudinal microbiome data. We propose athree-pronged approach: (1) developing functional clustering techniques to detect flexible microbiasubgroups with similar temporal patterns: 2) creating scalable, adaptive tools to link these groups tihost or environmental health factors; and (3) applying these methods to real-world ecological ancbiomedical datasets to uncover functional microbial groups relevant to human and wildlife healthThis work bridges statistical innovation and microbiome science, offering new insights into microbiacommunity dynamics.
【报告时间】：2025年07月11日09:30-10:30
【报告地点】：崇真楼110
