Presenter

Michael M. Wolf is a member of the technical staff at Sandia National Laboratories, New Mexico in the Center for Computing Research. He works primarily on high performance data analytics with a focus on graph/hypergraph algorithms and linear algebra-based techniques for data analysis. A theme of his most recent work is the development of high performance scientific computing inspired techniques to address challenges posed by large data science problems. He is the project lead for the high performance analysis framework TriData, which provides linear algebra based graph and hypergraph analysis, and co-author of the data analytics miniapplication miniTri.