
researcher | lecturer | speaker
I am an AI governance researcher committed to the belief that technological developments need to be paired with adequate governance structures. My work lies at the intersection of law, economics, and philosophy, investigating how we can leverage various legal modules (from sector-specific regulation to corporate governance) to align AI with the public interest. I hold a Ph.D. in law from Sciences Po Law School.
I am currently a postdoc affiliated with the Chair for Law and Artificial Intelligence at the University of Tübingen and an external lecturer at École polytechnique. Prior to this, I have been a lecturer at Sciences Po Law School and have held visiting positions at Harvard Law School and Stanford Law School & Computer Science Department.
Current projects:
AI foundation models: platforms or infrastructures?;
AI companions as phenomenological objects: regulatory proposals;
Governing AI Firms: Antitrust, Corporate Governance, and Regulation (co-editor, forthcoming with Cambridge University Press)
As a lecturer, I have taught modules on AI governance, comparative antitrust law, law & economics, and corporate social responsibility. My classes have repeatedly received satisfaction rates of 100%.
I have intervened at and organized numerous conferences bringing together voices from academia, the public sector, and industry, hosted by fora ranging from the OECD to start-up incubator Station F.Upcoming talks:Governing Foundation Models (VU Amsterdam, March 5);
The Public Interest in the EU Digital Rulebook (CPDP, Brussels, May 20);
A Phenomenological Approach to AI Companions (Theorizing Data and AI, London, May 26)
I have published on AI governance, data markets, the governance of new technologies, and the role of antitrust in promoting innovation. Selected publications:
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