M. Ivette Gomes is an Emeritus Professor at Faculty of Sciences, University of Lisbon (FCUL), since 2017, and a principal researcher at the Centre for Statistics and Applications, University of Lisbon (CEAUL) since 1975. She was elected a corresponding member of Academia das Ciências de Lisboa in May 2015 and an effective member since November 2018. From 1986 until 2011, she was a Full Professor at the Department of Statistics and Operations Research (DEIO), FCUL. She has got a Degree at Pure Mathematics (FCUL, 1970), a PhD in Statistics (University of Sheffield, UK, 1978) and a Habilitation Degree in Applied Mathematics (FCUL, 1982). She was a founding member of the Portuguese Statistical Society and Vice-President of the International Statistical Institute (ISI), since 2015 until 2017. She is member of several scientific Associations, like the American Statistical Association, Bernoulli Society, International Association for Statistical Computing, Institute of Mathematical Statistics, International Statistical Institute, Royal Statistical Society, Sociedade Portuguesa de Estatística, Sociedade Portuguesa de Matemática and Sociedade Portuguesa de Metrologia. She has been involved in the organization of several international conferences, including the 56th Session of ISI, 2007, with more than 2000 participants. Among other editorial duties, she was Editor-in-Chief of Revstat--Statistical Journal (2003-2018), and she is Associate Editor of Extremes since 2007. She supervised several MSc students, PhD students and Post-Doc students. She has lectured several courses at first and post-graduate levels and has participated in hundreds of juries. She has the co-authorship of five books, ten books/journal editions, more than one hundred book chapters, also more than one hundred articles in international periodicals, twenty articles in national periodicals and several articles in conference proceedings. She has developed research in Resampling Methodologies, Statistical Quality Control and Semi-Parametric Estimation. Her main areas of research are Extreme Value Theory and Statistics of Extremes.