Argonne National Laboratory

Lisa Goodenough

Argonne Associate

Dr. Lisa Goodenough is a postdoctoral researcher in the Muon Group within the High Energy Physics Division.  Her research interests broadly include precision muon physics, utilizing High Performance Computing in HEP, neutrino physics, and dark matter detection and phenomenology.

Dr. Goodenough is currently working on enabling the event simulation software for Fermilab’s Mu2e and Muon g-2 experiments to fully utilize the supercomputers Mira (at the Argonne Leadership Computing Facility) and Cori (at the National Energy Research Scientific Computing Center).  Both sets of simulation code utilize art, the event-processing framework developed and supported by the Fermilab Scientific Computing Division.  Experiments build their scientific computing programs using art's plug-in modules of external products such as Geant4, ROOT, and CLHEP, as well as their own proprietary modules. art provides infrastructure for common tasks, such as reading input, writing output, run-time configuration, provenance tracking, message handling and database access.

Lisa completed her Master’s Degree at the University of Washington working in precision experimentation with Jen Gundlach.  She received her Ph.D. from New York University in 2011, having completed her thesis studying the implications of astrophysical signals for theories of dark matter under the supervision of Neal Weiner.