Seminar| Institute of Mathematical Sciences
Time: Thursday, November 13th, 2025,16:00-17:00
Location: RS408, IMS
Speaker: Jingru Zhang, Fudan University
Abstract: Recent advancements in wearable technology have greatly expanded both the availability and complexity of physical activity data. Actigraphy, in particular, enables continuous, high-frequency monitoring of activity patterns over multiple days, producing rich longitudinal datasets with repeated measurements for each individual. These data offer valuable opportunities to study behavioral patterns and health outcomes, yet they also present substantial analytical challenges arising from their intricate structure and dependence across time and subjects. In this talk, I will first outline the key characteristics of physical activity data and discuss the associated methodological challenges. I will then introduce statistical methods for integrating data collected from multiple sources and two-sample testing approaches tailored for repeatedly measured physical activity data.
张静茹是复旦大学大数据学院的青年副研究员，2019年获得北京大学博士学位，之后在美国宾夕法尼亚大学从事博士后研究工作。她的主要研究方向包括复杂对象数据的统计方法、移动健康数据分析，以及统计学习在医疗健康领域的应用。