Chi, D.L., Lenaker, D., Mancl, L., Dunbar, M., Babb, M., 2018. Dental therapists linked to improved dental outcomes for Alaska Native communities in the Yukon-Kuskokwim Delta. Journal of Public Health Dentistry. https://doi.org/10.1111/jphd.12263
Fussell, E., Curran, S.R., Dunbar, M.D., Babb, M.A., Thompson, L., Meijer-Irons, J., 2016. Weather-Related Hazards and Population Change: A Study of Hurricanes and Tropical Storms in the United States, 1980–2012. The ANNALS of the American Academy of Political and Social Science 669, 146–167. https://doi.org/10.1177/0002716216682942
Patents
2021
Estimating the value of a property in a manner sensitive to nearby value-affecting geographic features. Patent number: 10984489.
Occupation
January 2016 - December 2021 Data Scientist
University of Washington
Design and implementation, in python and R, of data engineering pipelines using linear optimization and regression modelling resulting in a 30-percent increase in the study population (136M to 178M) and an 8-fold increase in complete cases.
Deployment of 155K generalized linear models in a parallelized R computing environment.
Design and implementation in R of parallelized data visualization pipelines.
Data engineering, regression modelling, and visualization of historical and contemporary data using python, R, and SQLite.
Consultation and instruction in feature engineering, data analysis, geospatial analysis, statistical analysis, data visualization, and cartographic visualization using python, R, and ArcGIS.
August 2013 – January 2016 GIS Analyst
Zillow.com
Authorship of geospatial feature engineering and machine learning algorithms in python, R and MS SQL Server.
Feature engineering and statistical analyses in support of live-site operations and maintenance using MS SQL Server and python.
Data-driven analysis of the technical feasibility and business-need suitability of dataset acquisition and incorporation into production, at-scale, machine learning pipelines.
Authorship of new geospatial feature engineering algorithms in R and python that led to a 10-fold increase over then-existing algorithm efficiency and coverage.
Data-driven business-needs assessment of the strengths and efficiencies of existing geospatial feature engineering algorithms.
Bias identification using R in production machine learning models.
April 2012 – October 2014 Geographer
U.S. Bureau of Census
Coordinated federal-academic project proposal development, project management, and researcher access to confidential federal statistical data.
Site operation and administration of a Federal Statistical Research Data Center.
Completed build out and received certification to operate a federally compliant Federal Statistical Research Data Center (1 of 16 at the time of opening).