I hold a Combined Honours BSc in Physics and Mathematics with a Certificate in Information Technology from Dalhousie University. I later pursued a Graduate Certificate in Geospatial Data Analytics from the Centre of Geographic Sciences (COGS), followed by an MSc in Applied Geomatics at Acadia University—funded through the Esri Canada/Esri Inc. Internship and Grant program.

My background bridges mathematical physics, geospatial analytics, and data science. I specialize in simplifying and modeling complex systems—natural or human-made—using Python, R, and modern GIS tools such as ArcGIS Pro, ArcGIS Online, ArcPy, and more. My approach blends theoretical depth with hands-on spatial data engineering and visualization.

I currently work as a GIS Analyst for Elections BC, where I manage production and test geospatial databases in Oracle 19c, support migration to modern GIS systems, and lead geospatial CI/CD operations for the province’s 43rd General Election. I collaborate with government teams and GIS technicians to deliver accurate, neutral, and scalable electoral data products using automation, spatial ETL, and data integrity checks.

On the personal side, I’m building an MLOps pipeline for LiDAR land cover classification, showcasing cloud-native geospatial data science. Using AWS (EC2, S3), Apache Airflow, DVC, and GitHub, I’m constructing an end-to-end workflow for processing raw LiDAR data, training machine learning models, and deploying results to a public-facing dashboard.

Whether I’m analyzing drone and satellite imagery or crafting reproducible workflows, I strive to make data-driven insights accessible and actionable. I enjoy transforming technical complexity into interactive visual stories and dashboards for decision-makers and the public.
 

 I’m especially interested in how mathematical models from physics—like dynamical systems—can inform machine learning, urban planning, and ecological prediction.

A confident communicator and lifelong learner, I’ve presented at institutions such as the Fields Institute and worked in public science education at Halifax’s Discovery Centre. I’ve also supported university teaching in physics, computing, and data analysis.

Let’s connect if you’re interested in geospatial data science, MLOps, or making sense of complex systems through computation and visualization.
Check out my website or GitHub to see what I’m working on!