Item talk:Q46376: Difference between revisions

From geokb
(Added profile data from https://www.usgs.gov/staff-profiles/lillian-e-gorman-sanisaca)
 
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Revision as of 17:04, 20 October 2023

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           title:
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             title:
               value: Determining the sources of fine-grained sediment using the
                 Sediment Source Assessment Tool (Sed_SAT)
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usgs_staff_profile:

 meta:
   status_code: 200
   timestamp: '2023-09-30T16:41:43.486965'
   url: https://www.usgs.gov/staff-profiles/lillian-e-gorman-sanisaca
 profile:
   abstracts: []
   affiliations: []
   education:
   - Graduate Studies, Dept. Earth and Planetary Science, Johns Hopkins University
     2008-2010
   - B.S. Geophysics, B.S. Geology University of Minnesota, Twin-Cities, Minneapolis,
     MN
   email: lgormansanisaca@usgs.gov
   expertise_terms:
   - R Programming Language
   - Rshiny user-friendly applications
   - Visual Basic for Applications macro development
   - Programming Language translation (SAS, Python, VBA)
   - Database Management
   honors: []
   intro_statements:
   - Lillian (Lily) is a Physical Scientist with the USGS. She works on a variety
     of projects as an expert in the R programming language, Rshiny, and in translation
     of proprietary programming languages (SAS, Python, etc.) to R.  Current research
     projects include development of RSPARROW and RSPARROW, Bayesian with Richard
     Alexander and of the Sediment Source Assessment Tool (Sed_SAT) with Allen Gellis.
   name: Lillian E Gorman Sanisaca
   name_qualifier: null
   orcid: 0000-0003-1711-3864
   organization_link: https://www.usgs.gov/centers/md-de-dc-water
   organization_name: Maryland-Delaware-D.C. Water Science Center
   personal_statement: "Select PublicationsGorman Sanisaca, L.E., Gellis, A.C., and\
     \ Lorenz, D.L., 2017, Determining the sources of finegrained sediment using\
     \ the Sediment Source Assessment Tool (Sed_SAT): U.S. Geological Survey Open\
     \ File Report 2017\u20131062, 104 p., https://doi.org/10.3133/ofr20171062, IP-079059.Gorman\
     \ Sanisaca, L., Gellis, Allen, Lorenz, David, 2017, Sediment Source Assessment\
     \ Tool (Sed_SAT): U.S. Geological Survey software release, accessed at https://my.usgs.gov/bitbucket/projects/SED/repos/sed_sat/"
   professional_experience:
   - '2014-present: Physical Scientist USGS MD-DE-DC Water Science Center Baltimore,
     MD'
   - '2013-2014: Contractor USGS MD-DE-DC Water Science Center Baltimore, MD'
   - '2013: Volunteer USGS MD-DE-DC Water Science Center Baltimore, MD'
   title: Physical Scientist