Hi, I'm Leonardo.

I use data, code, and photography to tell socially relevant stories. My work is at the intersection of data science, art, and journalism.

Exploring the Impact of Location-based Hashtag Activism on Political Processes Using Geolocated Social Media Data.

Conducted with Python and D3.js for my masters thesis

A visual narrative around COVID-19 and mobility in London.

Built with Python and D3.js for Enders Analysis

In the digital era, hashtag activism may be a stronger predictor of legislative change than traditional protest

Conducted with Python and D3.js for an interview with The Economist

Visualizing new data on felony crime rates by citizenship status in the United States.

Built with Python and D3.js for fun

Visualizing deaths caused by policing in the United States.

Built with Python and D3.js for fun‍

Honorable mention at The Pudding cup for the best visual and data-driven stories of 2020

A visual narrative around COVID-19 and mobility in London.

Built with Python and D3.js for Enders Analysis‍

A data-driven framework to reveal systemic inequalities in access to infrastructure across global cities.

Built with Python and D3.js for Delft University of Technology

Visualizing voices of the opioid epidemic through photography and text mining.

Built with Python and my camera for Vancity Community Foundation

Exploring the vulnerability and criticality of Bangladesh's Road infrastructure.

Built with Python and Plotly.js

Debunking dated myths about factors of criminal activity within cities.

Built with Python, Plotly.js and D3.js

Quantifying tree canopy cover and impervious surfaces for the metro Vancouver region.

Built with ArcGis, QGIS and R for Metro Vancouver