I am a developer journalist who has experience investigating digitised information (data) for stories using computational methods.

I currently do so for The Bureau of Investigative Journalism (@TBIJ) in London - I am a N16/E8 local.

I am motivated by data transparency, social justice and future studies.

Originally from Montréal, I moved to Wales in 2014 to be part of Cardiff University’s first MSc computational journalism course.

I joined the Bureau from Trinity Mirror’s data unit in Cardiff having covered a wide range of social issues for the group’s many local papers.

As part of TBIJ's Bureau Local team (@bureaulocal) I won the Innovation Award at the European Press Prize and British Journalism Award. Before, joining the  Bureau I won a Canadian Online Publishing Award while freelancing with the Huffington Québec.

On my own time I enjoy natural wine, abstraction, deviancy and just hanging out with my friends :').


p.s. Since the term deviancy can be perceived negatively, here's the interpretation I use to define deviancy...

Deviancy is an area of transition between two or more 'stable states'.

To illustrate, those stable states can be spatio-temporal norms, political fixities or simply two neurones at the beginning and end of a cognitive pathway.

Because there is always a potential to do things differently, providing meaningful space into which new deviant understanding can be formed is essential.

Concisely drawing upon the previous three paragraphs, deviancy allows a space of unknown quantity to be used as an area of transition from where quantifiable knowledge will be learned.