Geospatial systems & AI for the environment
I help drive change by understanding a landscape's geospatial history, analysing its present systems, and modelling changes to come. Built entirely in open-source Python, and always ending as something people can use.
Decades of satellite record, read as the story of how a landscape became what it is.
The environmental and human systems of right now, read together as one baseline.
Scenarios and optimisation that make possible futures comparable.
Interactive maps and tools, so people can steer the analysis themselves.
My journey into geospatial work began when I was young, growing up in Canada with an adventurous family that prioritized camping and the outdoors. During my undergraduate degree in Physical Geography, I spent the summers doing field work in the Canadian Arctic collecting soil samples for mineral exploration. I discovered GIS and geospatial analysis and knew that was how I wanted to make a difference. I proceeded to complete a Masters of Science analyzing the stable-isotopes of permafrost, snowpack, and rain water from a region of the Canadian Arctic, which taught me to love and appreciate the scientific side of this work.
Now, I work to make complex systems, both environmental and human, understandable by analyzing and presenting data in a way anyone can understand. I do this primarily through Python and a fully open-source stack that allows me to work efficiently and transparently across all domains and scales. The underlying purpose of my work is environmental, all projects I work on have some tie to changing the environment for the better. Be it renewable energy, modal shift away from cars, or understanding change in an environmental system.