Vanesa Guerrero is an Assistant Professor in the Department of Statistics at Universidad Carlos III de Madrid since 2017. She obtained her BSc (2012), MSc (2013) and PhD (2017) in Mathematics at Universidad de Sevilla.
Her research interests are related to the enhancement of interpretability in complex datasets by combining methods of Statistical Data Analysis and Mathematical Optimization. In particular, she has worked in developing sparse models for Principal Components Analysis and in developing new visualization frameworks which faithfully preserve the inherent data structure. She has publications in top journals including Mathematical Programming, European Journal of Operational Research, Journal of Multivariate Analysis and Computers & Operations Research.