University of Texas at Austin

Anna Yesypenko


Anna's work is concerned with developing efficient algorithms for scientific computing, namely for the solution of differential and integral equations. The overarching theme of her work is that dense solution operators representing Green's functions often have structure that allow them to be applied quickly. She is concerned with designing solvers that parallelize well and attain high performance on modern latency-bound architectures.

BS, Computer Science, Cornell University (2017)
MS, Computational Science, Engineering, and Mathematics, The University of Texas at Austin (2019)