Victoria Uribe is a Mexican American Ph.D. Candidate in Applied Mathematics at Arizona State University. Her current research interests include inverse problems, numerical linear algebra, machine learning, and high performance computing. In particular, she is interested in row-action methods for solving large-scale inverse problems. Raised in Paradise, California, she received her B.S. in Applied Mathematics from California State University, Chico in 2016. Before starting graduate school, she briefly attended the University of California, Berkeley School of Law before deciding to continue her education in Applied Mathematics instead.
Victoria is currently working in ASU's HPC-systems-adjacent Computational Research Accelerator and serving as the Vice President for the Women in HPC (WHPC) at ASU student chapter. She hopes to work as a Quantitative Researcher or Research Software Engineer after completing her Ph.D.