Daniel Szyld is Professor of Mathematics at Temple University. He received his PhD at the Courant Institute, New York University, where he attended after undergraduate studies in his native Buenos Aires. He has worked on many aspects of numerical linear algebra and matrix computations, including eigenvalue problems, sparse matrix techniques, preconditioning, Schwarz methods and domain decomposition, and Krylov subspace methods. His interests also include asynchronous parallel methods for the solution of linear and non-linear problems on high-performance computers. He has served in multiple editorial boards, and currently he is the editor-in-chief of the SIAM Journal on Matrix Analysis and Applications. Previously he was an editor-in-chief of the Electronic Transactions on Numerical Analysis. He has served on the Board of the International Linear Algebra Society, and most recently, as Vice-President at-large of the Society of Industrial and Applied Mathematics.