Computational Geophysics Team Leader; Advisor, RemPlex
Computational Geophysics Team Leader; Advisor, RemPlex


Judy Robinson is a computational scientist with field and numerical modeling experience in geophysical methods, specializing in electrical resistivity imaging. Since joining PNNL in 2018, her work has focused primarily on joint inversion using flow and transport models with electrical resistivity imaging to determine the feasibility of field electrical imaging. She also has expertise in analyzing complex resistivity data and is working towards joint physical and geochemical interpretations using corroborating field and lab datasets.

Disciplines and Skills

  • Electrical resistivity imaging, including E4D
  • Spectral induced polarization
  • Hydrogeophysics/Hydrogeophysical numerical modeling
  • Data fusion


  • Ph.D., Environmental Science, Rutgers University-Newark
  • M.S.E., Environmental Engineering, Johns Hopkins University
  • B.S., Civil Engineering, New Jersey Institute of Technology

Affiliations and Professional Service

  • Environmental Engineering and Geophysics Society (EEGS) - Board member at large, 2019
  • American Geophysical Union (AGU) member





  • Robinson J.L., A. Buda, A. Collick, A. Shober, D. Ntarlagiannis, R. Bryant, and G. Folmar, et al. 2020. "Electrical monitoring of saline tracers to reveal subsurface flow pathways in a flat ditch-drained field." Journal of Hydrology 586. PNNL-SA-152331. doi:10.1016/j.jhydrol.2020.124862
  • Robinson J.L., R.D. Mackley, M.L. Rockhold, T.C. Johnson, J.N. Thomle, C.D. Johnson, and P. Jaysaval. 2020. Geophysical Methods for Stratigraphic Identification. PNNL-29182 Rev 1.0. Richland, WA: Pacific Northwest National Laboratory. Geophysical Methods for Stratigraphic Identification
  • Robinson J.L., T.C. Johnson, and M.L. Rockhold. 2020. "Feasibility assessment of long-term electrical resistivity monitoring of a nitrate plume." Groundwater 58, no. 2:224-237. PNNL-SA-138315. doi:10.1111/gwat.12899
  • Rockhold M.L., J.L. Robinson, K. Parajuli, X. Song, Z. Zhang, and T.C. Johnson. 2020. "Groundwater characterization and monitoring at a complex industrial waste site using electrical resistivity imaging." Hydrogeology Journal 28, no. 6:2115-2127. PNNL-SA-147892. doi:10.1007/s10040-020-02167-1