Brian Kielstra
Environmental Scientist at Egis in Canada
Toronto, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolBrian Kielstra is an environmental scientist with eight years of experience studying how multiscale disturbances shape aquatic and landscape ecosystems, blending field sampling with advanced spatial and statistical analysis. He holds a PhD in Forestry (Aquatic Ecology) from UBC and has led cumulative-effects research at Natural Resources Canada, developing reproducible analytical tools (e.g., the hydroweight R package) to improve predictive capacity and transparency. Brian is proficient in R and a suite of geospatial tools (QGIS, SAGA, GRASS, Whitebox, ArcGIS) and has synthesized large physical, biological, and remote-sensing datasets to link land-cover and terrain processes to aquatic indicators like fish mercury. Now at Egis in Canada following Ecometrix integration, he combines rigorous quantitative methods with hands-on field expertise to deliver actionable insights for ecosystem management. An understated strength is his ability to translate complex, multivariate analyses into practical frameworks that support interdepartmental data sharing and decision-making.
8 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Forestry (Aquatic Ecology), Doctor of Philosophy - PhD, Forestry (Aquatic Ecology) at The University of British ColumbiaMaster of Science - MS, Aquatic Biology/Limnology, Master of Science - MS, Aquatic Biology/Limnology at Queen's UniversityBachelor's degree, Environmental Science (Honours Co-op), Bachelor's degree, Environmental Science (Honours Co-op) at University of Guelph
Github Skills (16)
hydrology9
r-package9
geomorphology9
gis8
grass8
lidar8
geospatial7
earth-engine7
arcgis6
python5
reproducible-research4
spatial4
data-analysis4
toolbox4
rstudio2
Programming languages (2)
Github contributions (4)
GLFC-WET/hydroweight
Jan 2021 - Dec 2021
hydroweight R package
Contributions:1 release, 58 commits, 11 pushes in 11 months
r-packagerstats
MiKatt/openSTARS
Feb 2018 - Feb 2024
open source implementation of the STARS ArcGIS toolbox
Contributions:3 comments, 1 issue in 6 years
r-packagearcgistoolboxspatialreproducible-research
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