Staff Profile

Originally from Mexico City, I pursued my academic journey across continents, obtaining a Ph.D. in Statistics from the University of Edinburgh, UK. My dissertation focused on Bayesian analysis of jointly heavy-tailed data under the guidance of Supervisor Miguel de Carvalho. From 2022 to 2023, I was a University teacher in Statistics at the University of Edinburgh, UK.

Prior to that, I earned an MSc in Mathematical Sciences from UNAM, Mexico, specializing in spatio-temporal analysis of air pollution in the Mexico valley. My undergraduate studies also took place at UNAM, where I completed a BSc in Actuarial Science, achieving a Diploma of Academic Achievement with honours.

Currently, I am a Lecturer in Statistics at Newcastle University, starting from 2023.



My research interests are: Applied Probability, Applied Statistics, Bayesian Statistics and Statistics of Extremes.

• Articles

  • de Carvalho Miguel, Palacios Ramirez Vianey. Semiparametric Bayesian modeling of nonstationary joint extremes: How do big tech's extreme losses behave?. Journal of the Royal Statistical Society: Series C 2024. In Press.
  • Palacios Ramírez Vianey, de Carvalho Miguel, Gutiérrez Luis. Heavy-Tailed NGG-Mixture Models. Bayesian Analysis 2024, epub ahead of print.
  • de Carvalho Miguel, Kumukova Alina, Palacios Ramirez Vianey. Miguel de Carvalho, Alina Kumukova, and Vianey Palacios Ramirez's contribution to the Discussion of ‘The First Discussion Meeting on Statistical aspects of climate change’. Journal of the Royal Statistical Society Series C: Applied Statistics 2023, 72(4), 853–854.

• Book Chapter

  • de Carvalho Miguel, Palacios Ramirez Vianey, Henriques-Rodrigues Lígia. Regression Models for Extreme Events. In: Chapman & Hall/CRC, ed. Handbook on Statistics of Extremes. 2024. Submitted.