CV

curriculum vitae

Wayne Graham, MA Head, Research and Development, Department of Research & Scholarship, University of Virginia Library (http://www.scholarslab.org) PO Box 400113 Alderman Library University of Virginia Charlottesville, VA 22904-4113 phone: 434.924.6265 email: wayne.graham@virginia.edu

Education

  • MA in Colonial History dissertation title: For Generations: Wills, Inventories, and Wealth in Colonial Virginia College of William and Mary (awarded May 2001).
  • BA in History honors thesis: Intergenerational Testation Practices in Late 18th Century Timber Ridge Virginia Military Institute (degree with honors and distinction awarded May 1999)

Publications

Presentations

  • “A New Spatial Analysis of the Early Chesapeake Architecture,” Digital Humantities Conference, London, England (July 2010).
  • “Project Blacklight  and the UVa Geospatial Data Portal : Owning Your Research Infrastructure,” Organization of American Historians Annual Meeting, Washington, DC (April 2010).
  • “Geospatial Metadata, Search, and Discovery,” Institute for Enabling Scholarship (funded by National Endowment for the Humanities), University of Virginia (November 2009).
  • “The Facebook API: Thinking About UI in a Social Way”, EdUi Conference, Charlottesville, VA 2009.
  • “Bridging the Digital Divide”, Vernacular Architecture Forum, Fresno, CA, 2008.

Conferences

  • Scholarly Communications Institute (2009, 2010)
  • Digital Humanities (2009, 2010)
  • THATCamps (2009, 2010)

Unpublished and Electronic Work

Memberships

  • Open Web Application Security Project (OWASP) (2009 – present)
  • Association for Computers and the Humanities (ACH) (2009 – present)
  • Vernacular Architecture Forum (2008 – present)

Computer Skills

  • programming: C/C++, Java, Objective C, Tcl/Tk, Ruby, PHP, ColdFusion, SQL, JavaScript
  • database systems: PostgreSQL, PostGIS, MySQL, MSSQL, Oracle
  • mobile: Android, iPhone
  • web frameworks: Rails, Sinatra, Zend, CakePHP, Cocoon
  • markup: TEI, XML/XSL, XPATH, XQUERY, HTML, CSS
  • systems: all major platforms including *nix, Mac, and PC; high performance computing systems (MPICH and PBS).
  • software: Scientific Visualization packages (VisIt, Paraview, VTK); Statistical and Mathematics packages (SPSS, SAS, Mathmatica, MATLAB)