I write code and build tools to turn biodiversity data into conservation and science insights. As part of the eBird Status and Trends team at the Cornell Lab of Ornithology, I help develop species distribution models to estimate the occurrence, abundance, and population trends of bird species at a high spatiotemporal resolution using data generated by the citizen-science project eBird. I work on all facets of this project, from model testing and development to visualization of model results.
To ensure eBird data are widely and correctly used in science and conservation, I produce data products, build open source tools, develop educational resources, and teach workshops.
MSc Zoology, 2016
University of British Columbia
BSc Ecology, 2012
Univesity of Guelph
MSc Physics, 2006
University of Toronto
BSc Physics, 2005
University of Toronto
auk
also includes tools for importing and processing eBird data in R.
prioritizr
R package provide a flexible interface for building and solving systematic conservation prioritization problems using integer linear programming (ILP). It supports a broad range of objectives, constraints, and penalties that can be used to custom-tailor prioritization problems to the specific needs of a conservation planning exercise. For more details, watch this talk by lead developer Jeff Hanson.