Environmental Science Division (EVS) a Division of Argonne National Laboratory
photo of Randall (Randy) Gentry
Randall (Randy) W. Gentry
Deputy Division Director
(630)252-4440
Degree
Ph.D., Civil Engineering, University of Memphis, 1998.
Current Role
Deputy Division Director, Environmental Science Division (EVS), with responsibility for management support, strategic planning, and hydrologic research development.
Capabilities
Interdisciplinary research in ground water hydrology, environmental tracers, and complex system characterization.
Career Highlights
  • Institute leader: Strategic planning and program implementation for the Institute for a Secure and Sustainable Environment at the University of Tennessee; strategic plan development for a cross-cutting hydrologic science program through the affiliated Southeastern Water Resources Institute.
  • Title 42 appointee: Strategic planning to guide an interdisciplinary group of specialists in chemical sciences, landscape ecology, landscape characterization, and characterization methods, for the Environmental Sciences Division, National Exposure Research Laboratory, U.S. Environmental Protection Agency.
  • Principal and co-investigator: Modeling and use of environmental tracers to characterize local aquifer leakage and regional recharge; use of novel modeling and isotopic tools to characterize aquifer mixing and assess exposure risk from shallow contamination; scientific leadership in design and implementation of multiple expeditions across a broad geographic area with different aquifer recharge and mixing zones.
  • Co-investigator: Partnership with highly interdisciplinary specialists studying the connection between fecal bacteria and watershed/land-use characteristics; scientific analysis of hydrologic behavior and the occurrence and persistence of source-attributed fecal bacteria.
  • Principal and co-investigator: Temporal and spatial scaling in complex water resource systems; mentor for Ph.D. student; support for development of temporal- and frequency-interpretive techniques for selected watershed behavior characteristics and their correlation with larger-scale hydrologic phenomena.