Luc Rocher is a lecturer in social data science, specialising in large-scale computational modelling approaches to study emerging concerns in algorithmic societies, from the future of privacy to the governance of algorithms in digital platforms.
Dr Luc Rocher
Departmental Research Lecturer
Luc Rocher is a lecturer in social data science at the Oxford Internet Institute, specialising in large-scale computational modelling approaches to study emerging concerns in algorithmic societies. With training in computer science and computational social science, Luc studies the future of privacy and digital rights as well as the governance of algorithms in digital platforms.
Luc’s research provides technical guidance to the challenges AI poses for competition law in digital platforms and data protection regulation online. Their work in Nature Communications 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.
Prior to joining Oxford, Luc received a 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. Their 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. Luc leads 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.
Areas of interest for Doctoral Supervision:
Future of data privacy, competition and regulation of online markets, privacy and anonymity in online platforms, vulnerabilities in socio-technical systems, governance of algorithmic societies, human dynamics, network science, computational social science
Digital privacy, digital rights, machine learning, digital platforms, digital governance.
Position held at OII:
- Departmental Research Lecturer : October 2021 – present
Integrating historical and cultural context with contemporary scholarship, this course equips students with the technical and conceptual tools to engage critically with machine learning research and practice.
I conduct my research in line with the University's academic integrity code of practice.