Item talk:Q46376

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orcid:

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usgs_staff_profile:

 meta:
   url: https://www.usgs.gov/staff-profiles/lillian-e-gorman-sanisaca
   timestamp: '2024-01-30T13:29:52.972669'
   status_code: 200
 profile:
   name: Lillian E Gorman Sanisaca
   name_qualifier: null
   titles:
   - Physical Scientist
   organizations:
   - !!python/tuple
     - Maryland-Delaware-D.C. Water Science Center
     - https://www.usgs.gov/centers/md-de-dc-water
   email: lgormansanisaca@usgs.gov
   orcid: 0000-0003-1711-3864
   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.
   expertise_terms:
   - R Programming Language
   - Rshiny user-friendly applications
   - Visual Basic for Applications macro development
   - Programming Language translation (SAS, Python, VBA)
   - Database Management
   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'
   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
   affiliations: []
   honors: []
   abstracts: []
   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/"