Profile
Trajectory, tools, and research focus.
TRAJECTORY
I started in data analysis for cognitive science labs at McGill University before pivoting to public policy. In 2021, I joined the Institute for Research on Public Policy (IRPP) as a Max Bell Policy Scholar, where I now lead a research program on workforce resilience.
Previously, I worked as a business analyst at Scotiabank, building internal tools to automate reporting workflows.
TOOLS
Analysis & Data
- ■ R (tidyverse, Shiny)
- ■ Python (pandas, scikit-learn)
- ■ SQL / PostgreSQL
- ■ StatCan microdata (LFS, PUMF)
AI & ML
- ▲ Embeddings (all-MiniLM, OpenAI)
- ▲ Vector databases (ChromaDB)
- ▲ DSPy & RAG pipelines
- ▲ Local-first LLM applications
Web & Build
- ▨ Astro / Svelte / TS
- ▨ Tailwind CSS v4
- ▨ Observable Framework
- ▨ Plotly / Streamlit / Tableau
CURRENT FOCUS
Geographic Information Systems (GIS)
Exploring GIS workflows in R (sf) and Python (geopandas) to generate small-area estimates. My goal is to unlock regional and community-level analysis that national averages often obscure.
AI-Augmented Research
Integrating AI into daily workflows—building tools for document analysis and environmental scanning. Currently prototyping a 'Passive Policy Intelligence' system to monitor stakeholder activity.
DOMAIN BREAKDOWN
This site is powered by a personal knowledge base that tracks all my work (text, links, metadata). That structured data lets me experiment with automated categorization.
The domains below are the output of an Natural Language Processing pipeline that extracts and clusters keywords from the text of my publications. Not perfect, but an interesting proof of concept for how small orgs might automate research tagging.