Matthías is a Research Staff Member in the Natural Resources Solutions group at IBM Research – Brazil. He joined IBM in December 2012 and is conducting research within the areas of oil and gas, bio-fuels, mining, and water. Currently he is developing novel spatio-temporal statistics methods with special focus on large-scale reservoir modeling and statistical simulation.
Before joining IBM Matthías was a Postdoctoral Associate in biostatistics at the Department of Public Health, Weill Cornell Medical School, New York City. Matthías holds a PhD degree in statistics from Cornell University, Ithaca, NY, and a BSc degree in mathematics from the University of Iceland. His research has largely focused on developing statistical methods with applications in genetics. In particular, he has worked on clustering and simultaneous testing algorithms for analyzing high-dimensional microarray and Next Generation Sequencing (NGS) data. Other research experience includes: Statistical Machine Learning, Generalized Linear Mixed Models, Bayesian Models, Finite Mixture Models, Functional Data Analysis, Survival Analysis, Dynamic Graphical Models, and Stochastic Modeling. Matthías also has an experience in statistical consulting within various scientific fields, in particular, in biological and social sciences.