Awards and Skills

Honors, Awards & Assistantships

2021 Support from Penn State Strategic Planning Award for publication: $1520

2021 William and Amy Easterling Outstanding Graduate Research Assistant Award: $800

2020 Willard Miller Award: 1st place for the Ph.D. proposal: $600

2020 IEEEVR Conference Assistantship: $300

Academic Enrichment Award supporting research: Spring 2021: $550, Fall 2020: $630, Spring 2019: $400

(2016, 2018 to present) Graduate Assistantship, Pennsylvania State University

(2007-2008) Tuition Assistantship, MA Town and Regional Planning, Sheffield University

2008 Graduation with Merit in MA Town and Regional Planning, Sheffield University

SKILlS and competencies
Certified Scrum Master

Scrum Alliance Certified

3D Visualization and immersive technologies
  • Unity
  • Steam VR
  • Blender
  • Lumen RT
  • ArcScene
  • Hands-on Modeling (SketchUp)
  • Procedural Modeling (City Engine)
  • 360 Photography
  • Structure from Motion Mapping
GIS and Remote Sensing
  • ArcGIS Desktop (Spatial Analyses, Spatial Statistics, Geostatistical Analyses, Network Analyses, etc.), ArcGIS Online, QGIS
  • CityEngine
  • ArcInfo Workstation for cleaning up and building topology
  • Map Accuracy Assessment (for instance, using Coefficient of Agreement KAPPA)
  • Geostatistical Analyst including interpolation (IDW, Kriging, Kernel, etc.)
  • GeoServer, OpenLayers, OpenGeo, GeoTool, Geo Atlas Styler, Geo Publisher, Google Earth
  • Familiarity with WMS, WFS, and WCS protocols for Internet GIS
  • Land Cover classification and mapping (supervised and unsupervised classification methods), tracking change, Pattern Recognition
Programming
  • Python scripting for GIS workflows, including raster and vector processing. The libraries I use include Arcpy, Gdal, Numpy, Scipy, PySal
  • R scripting for Statistical Analysis, including R studio, R Markdown, and R Shiny
  • Basic C# programming
  • CGA Shape Grammar Language
  • Basic Web Developing Skills including Java, JavaScript, CSS, HTML, XML dialects such as SVG, GML, and SLD
Data Analysis
  • R Studio, R Markdown, R Shiny
  • Statistical Packages including SPSS, JMP, and familiarity with Matlab.
  • MySQL, PostgreSQL, PostGIS, MS Access, MS Excel, Variowin
  • Competent in using a variety of statistical methods and Spatial Statistics, including but not limited to regression, principal component analysis, nearest neighbor analysis, chi-square test, local and global Moran’s I, Monte Carlo simulation, Getis’s Gi* statistics
  • component in supervised and unsupervised classification methods
Certificates
  • Certified Scrum Master, Scrum Alliance, Certificate earned on August 5, 2022.
  • Introduction to C# Programming and Unity by the University of Colorado System on Coursera. Certificate earned on May 11, 2020.
  • Programming for Everybody (Python) by the University of Michigan on Coursera. Certificate earned on August 25, 2015.
  • The Data Scientist’s Toolbox by Johns Hopkins University on Coursera. Certificate earned on May 3, 2015.