Dr. Reinaldo Sanchez-Arias
Program Director, Data Analytics
Assistant Professor of Mathematics
PhD, University of Texas at El Paso; MS, University of Texas at El Paso; BS, Universidad del Valle
Reinaldo (Rei) Sanchez-Arias earned his Bachelor of Science degree in Mathematics from Universidad del Valle in Cali, Colombia. In Fall 2008 he started his doctoral studies in the Computational Science Program at The University of Texas at El Paso (UTEP). During his years at UTEP he was involved in research projects for the Army High Performance Computing Research Center (AHPCRC) in collaboration with a group at Stanford University. He interned at Repsol Oil Company USA during the summer of 2011, where he worked with a group at the Research and Innovation Geophysics Department. During 2013, he also worked as adjunct instructor at the Mathematical Sciences Department at UTEP. Reinaldo obtained a Ph.D. degree in Computational Science from UTEP in the spring of 2013, and he completed a postdoctoral researcher appointment for the AHPCRC before joining Wentworth Institute of Technology (WIT). From 2014 to 2016, Dr Sanchez-Arias was part of the Applied Mathematics Department at WIT, where he taught courses for Applied Mathematics and Engineering students, nominated and served as the Faculty Advisor for the Society of Industrial and Applied Mathematics (SIAM) Student Chapter, and helped develop different elective courses in Mathematics. In Fall 2016, Dr Sanchez-Arias joined St Thomas University as an Assistant Professor of Mathematics in the School of Science. His general areas of interest include pattern recognition, numerical linear algebra and optimization, data analysis, and high performance computing. Part of his latest research efforts has been focused on the design of fast algorithms for sparse representation problems, and their applications in data mining problems in science and engineering. His work has been presented at international and national conference meetings including SIAM meetings, the International Conference for High Performance Computing, and the International Conference of the Engineering in Medicine and Biology Society.