Rio Yokota is an Associate Professor at GSIC, Tokyo Institute of Technology. His research interests lie at the intersection of high performance computing and applied mathematics. He has worked on scalable implementations of fast multipole methods, hierarchal low-rank matrices, and deep neural networks. He was part of the team that won the Gordon Bell prize for price/performance in 2009 using the fast multipole method on 760 GPUs. Rio is a member of ACM, IEEE and SIAM.