Venkitesh Ayyar’s background is in Theoretical and Computational Particle Physics. Ayyar got his Ph.D. in Theoretical Physics from Duke University in September 2016, specializing in Lattice Field theory.

He is interested in developing novel Multigrid methods for lattice gauge theories. As part of the Exascale Computing Project (ECP), he is developing and implementing novel Multigrid methods for different fermion formulations on Exascale supercomputers such as Frontier at the Oak Ridge National Laboratory. He also explores lattice gauge theories of interest in Physics beyond the Standard Model of particle physics. As part of the Lattice Strong Dynamics (LSD) group, he is exploring SU(4) gauge theories of interest as dark matter candidates. He is currently building and optimizing lattice gauge theory code on supercomputers at the Lawrence Livermore National Laboratory. He also explores generative models to learn the underlying distribution of matter in the early universe. As part of the ExaLearn initiative, he is developing Generative adversarial Neural networks (GANs) that can produce novel maps of matter distribution for untrained values of cosmological parameters.

Prior to working at Boston University, he held postdoctoral positions at Lawrence Berkeley National Laboratory and University of Colorado.