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Xavier de Luna is a Professor of Statistics at Umeå University in Sweden. He has held a significant role in the Faculty of Social Sciences as Prodean and is involved in various research projects and groups, including Stat4Reg. His research interests predominantly focus on the application of statistical methodologies to large datasets and the exploration of causal relationships through machine learning techniques. Professor de Luna has led research initiatives aimed at enhancing the statistical analysis of register-based data, investigating issues related to labor market health, socioeconomic disparities, and health trajectories across different populations. His work has contributed to understanding complex social phenomena by employing innovative statistical methods and models. He actively collaborates in research projects that investigate diverse topics, including the impact of sibling dynamics on child health, inequality in stroke care, and the role of generative AI in promoting open science.
Umeå University • Umeå, Sweden
Teaching and research in the field of statistics, focusing on advanced methodologies and their applications.
Requirements are standard for Master's programs across Social Sciences and Humanities at Umeå. English 6 proficiency is the general rule.