I am a lecturer in social data science at the University of Oxford, in the Oxford Internet Institute. I specialise in large-scale computational modelling approaches to study emerging concerns in algorithmic societies. With training in computer science and computational social science, I study the future of privacy and digital rights as well as the governance of algorithms in digital platforms.

My research provides technical guidance to the challenges AI poses for competition law in digital platforms and data protection regulation online. My work for instance demonstrated the limits of traditional techniques to de-identify and widely share ‘anonymous’ data online, calling for better privacy-preserving frameworks to disseminate and analyse personal data online.

I received my PhD from the Université catholique de Louvain in 2019 and worked as a researcher at the Data Science Institute and Computational Privacy Group of Imperial College London, at the ENS de Lyon, and at the MIT Media Lab. My work has been published in peer-reviewed journals and conferences (Nature Communications, Nature Scientific Data, Usenix Security, JMLR, WWW) and is regularly covered in the press (New York Times, The Guardian, The Telegraph, Forbes, El Pais, Scientific American) as well as featured in BBC World Service, France TV, RTBF TV and Radio, Radio Canada. I lead the Observatory of Anonymity, an international interactive website in 89 countries where visitors can find out what makes them more vulnerable to re-identification and where researchers can test the anonymity of their research data.

You can contact me by email at X@Y where X=luc and

Pronouns: they/them or he/him.