I’m passionate about advancing environmental and water-resources engineering by integrating sustainability, geospatial technology, climate science and policy analysis. My work tackles complex challenges, from land restoration and carbon management to data-driven water-policy evaluation, through physics-based modelling, big-data pipelines and spatial statistics.

Land Restoration & Water-Cycle Integration
Developing 3-D reclamation models under Canadian climatic scenarios, combining rainfall, evapotranspiration and soil-erosion tools to quantify restoration success and groundwater recharge. These insights guide resilient land-restoration designs and support adaptive management in post-mining landscapes.

Hydrological Data Imputation & Uncertainty Analysis
Applying spatial-statistical and machine-learning methods to fill gaps in Canadian streamflow and precipitation records. By enhancing data completeness and quantifying uncertainty, I strengthen the reliability of hydrologic and groundwater models in data-sparse regions.
 

Water-Policy Performance Evaluation
Integrating license-allocation datasets, groundwater trends and climate projections with spatial statistics to assess policy effectiveness. My recommendations for adaptive regulatory frameworks include advanced monitoring networks and stakeholder-driven licensing criteria to bolster watershed health and groundwater sustainability.
 

Automated Big-Data Pipelines & Dashboards
Building end-to-end Python/R and FME workflows for real-time ingestion, processing and visualization of hydrologic and emissions data. Interactive dashboards empower decision-makers with actionable insights, accelerating evidence-based policy development and resource-management solutions.