I am an evolutionary quantitative social scientist with a background in resourse economics and environmental planning. My research applies the principles of cultural evolution and common pool resource management to facilitate adaptive management of the global food system.
I am also an economics and data science consultant who has worked on a diverse set of projects including integrating data science into the econometrics curriculum at the University of Maine, and projecting the economic impact of recreational fishing of the Laurentien Great Lakes. I have experience in multipe quantitative and statistical programing realms including: Data Science with R, Causal Modeling, Bayesian Statistics, survey analysis, Spatial Statistics & GIS, and time-series statistics.
Preferred :R & RStudio (expert), mc-Stan (bayesian computing)
Elementary knowledge: HTML, Python, SQL, Matlab