I started my career in the United States Marine Corps where I specialized in geospatial intelligence (GEOINT), terrain analysis, and geodetic surveying. After my service in the military, I studied environmental science, GIS, statistics, and data science. My skills continue to take me across disciplines where my knowledge and experience are broadly applicable. I believe leadership should happen at all levels, be transparent, foster innovation, and support the equitable advancement of those around you.
Feel free to contact me – our paths are all difficult and unique.
Graduate Certificate - Data Science, 2021
Western Washington University
B.S. in Environmental Science, 2020
Western Washington University
GIS Minor & Certificate, 2020
Western Washington University
Expert (12 years)
Intermediate (4 years)
Advanced (9 years)
Intermediate (5 years)
Intermediate (3 years)
Advanced (7 years)
I serve a division of more than 450 public health staff by providing advanced informatics and analytics expertise to all Prevention & Community Health (PCH) division programs. I help design, lead, and execute strategic planning for our division’s technology modernization, cloud readiness and enablement, health informatics systems, and workforce development. My role is the first of it’s kind at WADOH and was created to help bridge IT support and Epidemiologist/analyst needs, provide feedback and implementation support for national and HL7 FHIR standards in PCH data systems, and support program needs with assistance or full support for code development, data management, and technology training or usage.
I worked with an office of epidemiologists and informatics specialists that utilize the Immunization Information System (WAIIS) for tracking, monitoring, assessing, and reporting vaccine supply, storage, and transfers as well as immunization records, rates, and coverage.
I work with a team of epidemiologists that utilize electronic health record messaging from hospitals and clinics to monitor and report on emerging public health threats (syndromic surveillance).
Author an internal R package for my team’s common code
Develop and implement automated, reproducible reporting
Assist with other syndromic surveillance tasks, as needed
Serve as a subject matter expert in data science
I provide technical GIS and statistical assistance for two San Francisco Bay area research projects: San Francisco Delta risk assessment and an NSF-funded microplastics risk assessment.
I managed GIS land records data and provided assistance to office staff as needed.
I produced geospatial products tailored to remote project locations on Kauai, HI for several pumped-hydroelectric projects in support of Hawaii’s renewable energy initiatives.
I was a SEAGRANT scholar for ODF&W’s Shellfish and Estuarine Assessment of Coastal Oregon (SEACOR) project team where I assisted with the operation and evaluation of sUAS as a potential tool for estuarine management and research.
I led volunteers and specialized in providing GIS services for a salmon monitoring project in partnership with Edmonds Community College, the City of Mukilteo, and Snohomish County Airport in support of mitigation banking for a proposed runway expansion.
My primary responsibilities were to provide geospatial support (collect, analyze, process, and disseminate geophysical data) by utilizing various software and equipment, constructing tailored products, conducting geodetic, topographic, and hydrographic survey operations, and analyzing terrain and hydrography as a functional aspect of military intelligence.
This workshop by Jonathon A. Kemp provided me with my fundamental understanding of open-source options for GIS such as QGIS, Leaflet (web mapping API), and MapBox (customizable base map service).
This workshop by Branden Rishel provided me with the necessary skills for integrating ArcGIS Pro projects and other media with Adobe Illustrator to create custom map graphics and visualizations.
This course explored advanced ArcGIS techniques for data management and geoprocessing such as Python scripting, advanced use of ModelBuilder, scripting the creation of map documents, and using Python in open-source GIS software.
This course provided me with advanced knowledge in the use of geodatabases, ArcGIS ModelBuilder, geometric networks, linear referencing as well as fundamental satellite imagery utilization and interpretation and an introduction to ArcGIS Online.
This course covered the theory of remote sensing, platforms, and image analysis techniques in ENVI including classification, spectral analysis, change detection, PCA, and image segmentation using Orfeo and R. We also analyzed LIDAR using USGS FUSION and sUAS structure-from-motion data using Agisoft Photoscan and ArcMap.
This course provided me an in-depth examination of spatial data formats, spatial data analysis, and geoprocessing using ArcGIS and ModelBuilder.