Jorge Martín Arevalillo received his Ph.D. in Statistics from the University Nacional de Educación a Distancia (UNED) in Madrid in 2003. He has collaborated in consulting projects for clients as McDonald’s, Carrefour, Yell Publicidad S.A, Mutua Madrileña and Trabajos Catastrales S.A giving statistical and data mining support and has also collaborated with Salford Systems as a data mining researcher in 2006. He has served as instructor for numerous institutions and private companies: Boston Consulting Group, CIFF Foundation and UNED Foundation, among others.

Dr. Arevalillo is currently an Assistant Professor in the Department of Statistics and Operational Research at UNED where he teaches probability theory and statistical inference for computer science students and conducts research in both applied and theoretical statistics. His research areas of interest range from the analysis of patterns in high dimensional data, with application to microarray gene expression data, to the foundations of asymptotic statistics. He has published his work in JCR impact journals and has participated in numerous congresses and seminars.