Summary
Dan Geo is a quantitative hydrogeologist and team leader with nine years of hands-on experience designing and applying numerical groundwater flow and contaminant-transport models across North America. He leads multidisciplinary hydrogeology teams at GHD, delivering source water protection, contaminated site assessment, and remedial design using MODFLOW/MT3D toolsets and calibration‑constrained uncertainty analyses to predict plume behavior with high confidence. Comfortable with both field programs and advanced data science, he develops R utilities and innovative visualization methods to interrogate and communicate complex hydrogeologic evidence. His work spans diverse hydrogeologic settings—from Ontario to Texas and California—and often translates detailed model outputs into practical risk assessments and remediation strategies. Notably, he routinely produces ensembles of calibrated transport realizations (100+ parameter combinations) to quantify worst‑case plume extents at the 99% confidence level, blending statistical rigor with pragmatic site decision support.
9 years of coding experience
2 years of employment as a software developer
M.Sc., Biogeochemistry, M.Sc., Biogeochemistry at University of Guelph