My research focuses on advancing statistical methodologies with a particular emphasis on robust multivariate data analysis, outlier detection, and functional data analysis. My contributions include the development of innovative techniques for detecting outliers in high-dimensional data, multivariate and functional frameworks, as well as robust regression models. I have also made significant contributions in regression diagnostics and data depth methodologies, applying these approaches to real-world problems in various domains, including environmental studies and health data. Additionally, my work in functional data analysis is significant for enhancing the interpretation and classification of complex data structures, particularly in applications like fMRI time-series and biological data analysis .