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Cristina Tortora is an Assistant Professor in the Department of Mathematics and Statistics at San José State University. Cristina’s research activities focus on data analysis, more specifically on cluster analysis and high dimensional data clustering. She is working on two main topics: high-dimensional data clustering and mixture models. She is working on model based clustering using non-Gaussian distribution. She developed some flexible mixture model based on the generalized hyperbolic distribution (GHD). Specifically she developed the mixture of multiple scaled GHDs and the mixture of coalesced GHDs. Recently she has been working on an extension of the mixture of coalesced GHDs for high-dimensional data sets. She also developed the mixture of generalized hyperbolic factor analyzers (MGHFA) to extend the the mixture of GHDs for high dimensional data sets. Her interests concern different applied areas as well, she collaborated with experts in different fields: psychologist, environmental scientists, engineers and agroecology experts. Before coming to SJSU, Cristina was a post-doctoral research fellow at McMaster University in 2015 and 2014, at University of Guelph, in 2013 and at Stazione Zoologica Anton Dohrn of Naples (Italy) 2012. She completed her PhD at the Department of Mathematics and Statistics of the University of Naples “Federico II” in February 2012. During her PhD she was visiting student at CEREMADE Paris Dauphine. Cristina obtained her Master degree in Statistics (Statistica per le decisione e l’analisi dei sistemi complessi) at the University of Naples “Federico II” in 2008 and obtained her Master 2 (Economie quantitative des comportements et des marchés) at the University “Lumiére Lyon II” in 2009.