Current project: piccard2
Skills: Clustering algorithms, data visualization and spatial data in Python
Supervisor: Prof. Fernando Calderon Figueroa (Dept. of Human Geography, UofT Scarborough)
I'm currently a member of the
Summer Undergraduate Data Science (SUDS) program's 2025 cohort working on
an update to
piccard, a Python package intended to make it easier to analyze geographically inconsistent census data using a graph data structure.
piccard in its current iteration creates the graph network from census data files, and the update I'm working on
applies an existing clustering package (
tscluster) to this graph network, which aids analysis and visualizations
of the patterns in census data.
Check out
this colab notebook
for a demonstration of piccard2's current functionality, or view the full git repo
here.
2024: GTA Urban Emissions Project
Skills: Full-stack web development, PHP, PostgreSQL, Salesforce products, Leaflet web mapping, spatial analysis with R and ArcGIS
Supervisors: Profs. Robert Soden (Dept. of Computer Science, UofT St. George) and Debra Wunch (Dept. of Physics, UofT St. George)
In the summer of 2024, I participated in the
Toronto Climate Summer School, during which my collaborators
and I investigated a previously unknown source of methane in Toronto's Junction neighbourhood. That fall, I continued
my work with Prof. Wunch's GTA Urban Emissions Project as an independent study. I conducted statistical and spatial analysis
to identify possible new sources of methane emissions in Toronto, developed a comprehensive citizen
science strategy for the GTA Urban Emissions Project, and designed a new user-friendly website for the group.
View the updated website
here and the git repo
here. Also, my final
paper for the independent study is available on the writing page.
2024: The TTC Improvement Game
Skills: Python GUI creation and deployment with NiceGUI, Docker and fly.io, graph creation and visualization
A silly little interactive visualization I made for a first-year CS course. It models TTC stations
and lines as a graph (piccard foreshadowing!!), allows the user to edit the subway map, and calculates the
effect on ridership.
View the updated website
here and the git repo
here.
2023: Bound to Big Oil Report
Skills: Webscraping, excel sheet manipulation with pandas
In the fall of 2023, I wrote Python scripts to automate data collection for Climate Justice UofT's
2024 Bound to Big Oil Report. View the report
here
and the git repo
here.