Ph. D. in Statistics from University of Warwick in 1987. Professor of Statistics at UFRJ from 1996 to 2019. Professor Emeritus at UFRJ since 2021. Supervises graduate students and post-doctoral researchers.
Author of the books Statistical Inference: an Integrated Approach and Building a Platform for Data-Driven Pandemic Prediction: From Data Modelling to Visualisation - The CovidLP Project, both published by Chapman & Hall. Also published books and monographs in Portuguese.
Papers published in many statistical journals including Journal of the Royal Statistical Society, Series B & C, Biometrika, Bayesian Analysis, Annals of Applied Statistics, Statistics & Computing, and also in the multidisciplinary journal Science.
Foundational and Opening Lecturer at the 2024 and 2004 editions of the World Meeting of International Society for Bayesian Analysis (ISBA) and invited lecturer at BISP, International Meeting of the Psychometric Society, International Valencia Meeting on Bayesian Statistics and International Workshop on Statistical Modeling and at various other scientific meetings.
Visiting lecturer at UFMG, Carlos III-Madrid, Connecticut, University College London and Duke.
Current Associate Editor of Statistical Modeling, International Statistical Review and Environmetrics. Elected member of ISI.
Current research interests: extreme value theory, spatial statistics, and Bayesian computation.
Ph. D. in Statistics from University of Warwick in 1987. Professor of Statistics at UFRJ from 1996 to 2019. Professor Emeritus at UFRJ since 2021. Supervises graduate students and post-doctoral researchers.
Author of the books Statistical Inference: an Integrated Approach and Building a Platform for Data-Driven Pandemic Prediction: From Data Modelling to Visualisation - The CovidLP Project, both published by Chapman & Hall. Also published books and monographs in Portuguese.
Papers published in many statistical journals including Journal of the Royal Statistical Society, Series B & C, Biometrika, Bayesian Analysis, Annals of Applied Statistics, Statistics & Computing, and also in the multidisciplinary journal Science.
Foundational and Opening Lecturer at the 2024 and 2004 editions of the World Meeting of International Society for Bayesian Analysis (ISBA) and invited lecturer at BISP, International Meeting of the Psychometric Society, International Valencia Meeting on Bayesian Statistics and International Workshop on Statistical Modeling and at various other scientific meetings.
Visiting lecturer at UFMG, Carlos III-Madrid, Connecticut, University College London and Duke.
Current Associate Editor of Statistical Modeling, International Statistical Review and Environmetrics. Elected member of ISI.
Current research interests: extreme value theory, spatial statistics, and Bayesian computation.