Applied water science
I build these tools end to end: the data pipelines, the underlying science, and the interface people actually use. They are written in R as Shiny web applications, developed in the open and version-controlled on GitHub, and deployed so anyone can open them in a browser with nothing to install. For tools that handle Canadian water data, I host on Google Cloud's Montréal region, keeping the data on Canadian soil (data sovereignty). Each one takes a hard hydrological question and turns it into something a water manager can act on.
This is not a side project. My whole career and education, from limnology and water governance to social network analysis, has pointed at one thing: helping the people who steward public water make better, more defensible decisions. Local governments answer to taxpayers, and sound decisions are how public money turns into real, lasting value for the people who pay for it. That is the standard I hold these tools to.
Monitors and forecasts stream temperature in Okanagan creeks, and flags when the thresholds that matter for fish and environmental flows are likely to be crossed, so managers can see a heat problem coming rather than read about it afterward.
Open the tool ↗Brings groundwater into the drought picture. It tracks conditions across Okanagan aquifers and shows where levels are trending toward stress, alongside the surface water that most monitoring already covers.
Open the tool ↗A real-time read on storage across the valley’s mainstem lakes and upland reservoirs: the water actually in the bank heading into a season.
Open the tool ↗