International Day Of Women in Statistics and Data Science

This session brings together recent advances in statistical methodology for analyzing complex, high-dimensional, and heterogeneous data arising in modern biomedical and genetic research. The presentations cover a broad range of topics, including variable screening for mixed-type and high-dimensional data, integration of mechanistic and statistical models for infectious disease prediction, semiparametric approaches for meta-analysis, and set-based association testing for functional genetic responses. Together, these talks highlight emerging statistical frameworks that improve flexibility, scalability, and interpretability in the analysis of complex data structures.