Research

My research lies at the intersection of statistical theory and real-world applications. I am particularly interested in developing and applying advanced statistical methodologies for complex data structures arising in diverse domains such as biostatistics, reliability, environmental studies, and public health.

My work primarily focuses on generalized linear models, Bayesian inference and computation, dependence modeling using copulas, spatial and spatio-temporal statistical models, and advanced modeling of count and lifetime data, including settings with contamination and inliers. My research is often motivated by real-world problems and aims to develop models that are both statistically rigorous and practically relevant.

I actively collaborate on both theoretical and applied statistical problems and welcome opportunities for international research and teaching collaboration.