Daniel Osei-Kuffuor (LLNL)

Daniel Osei-Kuffuor is a computational scientist in the Center for Applied Scientific Computing (CASC) at Lawrence Livermore National Laboratory (LLNL). Since joining LLNL, Daniel has contributed to several
numerical algorithms and scientific code development projects to support various applications including linear scaling Density Functional Theory, subsurface flow in porous media, and algebraic multilevel solvers and preconditioners for systems of PDEs, in the context of high-performance computing (HPC).

Prior to joining LLNL, Daniel earned a Ph.D in Scientific Computing and Mathematics from the University of Minnesota, under the direction of Yousef Saad, an M.Sc. in Computational Science and Engineering from the University of Greenwich, London, and a B.S. in Math and Computer Science from Dowling College.
His research interests include: numerical linear algebra and sparse matrix computations, high performance computing, scalable numerical solvers and preconditioners, variable precision computing, O(N) complexity algorithms for electronic structure calculations, and performance portable scientific software design.


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