STA 290 Seminar: Shang-Ying Shiu

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Event Date

Location
Mathematical Sciences Building 1147

Speaker: Shang-Ying Shiu, Associate Professor, Department of Statistics, National Taipei University (Taiwan)

Title: "A Large-Scale Clustering Method for ARGO Data Analysis"

Abstract: The ARGO program has deployed a vast network of autonomous floats, collecting extensive spatial and temporal records that serve as a critical resource for studying ocean dynamics and climate change. In this talk, we introduce a clustering method designed to effectively process large-scale datasets with complex structures while filtering out noise. Applying this method to an ARGO dataset comprising one million profiles collected over a decade, we identify and characterize the global distribution of vertical temperature and salinity profiles, examine the relationships between these key oceanic parameters, and investigate large-scale ocean variability.

Bio: Shang-Ying Shiu is an Associate Professor in the Department of Statistics at National Taipei University, Taiwan. She received her Ph.D. in Biostatistics from Brown University. Her current research focuses on clustering method development and data visualization.

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