GIS Intern

  • Produced time-sensitive maps, using Spatial Analyst, for law enforcement agencies in Maryland.
  • Developed research methods for large-datasets with both temporal and geographic information using GeoTime and G2 Research’s ICU Workbench.
  • Managed team of four student interns digitizing impervious surfaces and tree canopy of Cambridge, MD.
  • Wrote python scripts to automate the extraction of GPS points associated with unique individuals from a File Geodatabase to a .csv format for integration with another software platform designed for the spatial temporal analysis.
  • Identified slums in Lagos, Nigeria, using ENVI, alongside researchers from the National Intelligence University.
  • Created a spacial database of 1000 trees using ESRI ArcGIS and updated it based on field research.
  • Validated the data set of all of the places of worship in Maryland using Google Street view and aerial imagery .
  • Analyzed the commonalities between two criminal justice data sets by geocoding their address fields.
  • Wrote web maps using ESRI's JavaScript API to display data.

Campaign Manager and Policy Advisor

  • Elected a liberal and LGBT candidate on a Republican campus by a landslide (>10% margin of victory).
  • Advised the candidate on academic and social policies.
  • Managed issues and message for the campaign.
  • Directed and filmed campain videos.

Wikipedia Editor

Arbitration Committee Member

  • Working to solve intractable content disputes on the English Wikipedia, with a committee of 15.
  • Serving as a member of the Audit Subcomittee.
  • Reviewing appeals of long-term bans and blocks on the English Wikipedia
  • Reviewing candidates for advanced tools.

Audit Subcomittee Member

  • Monitoring and investigating improper tool usage on the English Wikipedia that queries private data or removes information from public view, with a committee of 5.


  • Removing revisions from public view that contain private information.

Conference Presentations

Making sense of Terabytes of GPS Data

The idea of big data has become an industry buzzword over the past few years; however, few systems can handle and process the kind of GPS data created by the GPS bracelets on offenders in Maryland. Each month, over 5 GB of new data is created that needs to be analyzed. Figuring out how to turn this dataset into useful products has been a goal of the Washington College GIS program since 2013. Now, though the use of G2 Research’s ICU workbench, we are turning this large dataset into a table of addresses that we know and offender has been to. This data will be distributed to law enforcement through our usual distribution channels. It can be used to strengthen an analysis or to provide background to law enforcement.

Crime Mapping and Analysis

In early 2011, the Crime Mapping and Analysis Program (CMAP) at Washington College was approached by the Maryland State Police to look into the ongoing thefts from pivot irrigation systems. Over the past several years, there has been a growing trend in the number of pivot irrigation systems that have been targeted by thieves. Using simple hand tools, individuals strip the copper wiring off the systems to sell for scrap. The cost of rewiring the towers and replacing broken motors, batteries, and sprinklers is extremely high. The cost is felt by farmers and insurance companies and passed on to consumers. To help law enforcement agencies prevent this crime, a prediction model was created. This model works by balancing the distances between the center point of the pivot irrigation system and the nearest road and address. By knowing which systems have a higher chance of being subject to theft, law enforcement can better allocate their resources.