Gisele de Oliveira Maia | Mathematics | Best Researcher Award

Maia has accumulated significant teaching and research experience. She has served as a professor substitute and volunteer at various Brazilian universities, including the Federal University of Espírito Santo (UFES) and UFJF. Her research roles have spanned several areas, including semiparametric regression, generalized linear models, and time series analysis. Additionally, she has developed statistical tools that are shared with the scientific community through open-access platforms.

Maia’s research is centered on semiparametric models, Bayesian inference, and time series analysis. Her work particularly focuses on latent factor models and GLARMA models for analyzing complex, asymmetrical, and time-dependent data. She aims to enhance statistical methodologies, making them more adaptable and accessible for diverse real-world applications. Her ongoing research involves developing new techniques for modeling time series data and improving their application to various scientific fields.