LATEST PUBLICATION: “Adaptive Regulation”
BOOK: “Artificial Intelligence and Competition Policy”
BOOK: “Blockchain + Antitrust: The Decentralization Formula”
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Greetings, explorer! This webspace compiles my research around the dynamics and regulation of digital markets, which I explore through the lens of complexity science.
I am an Associate Professor of Law at the Vrije Universiteit Amsterdam (Amsterdam Law & Technology Institute), and a Faculty Affiliate at Stanford University (CodeX Center), where I founded the “Computational Antitrust” project that brings together over 75 antitrust agencies. I am also the founder of the Network Law Review and the host of the Scaling Theory podcast. I co-created the Dynamic Competition Initiative (“DCI”).
In late 2025, I was awarded a €2 million ERC Consolidator Grant from the European Commission to fund ATLANTIS (2026 to 2031), a research project centered around the creation of a legal regime for computational antitrust.
My academic and policy experience spans institutions including Université Paris 1 Panthéon-Sorbonne, Sciences Po Paris, the Berkman Klein Center at Harvard University, as well as international organizations such as the French Regulatory Authority for Audiovisual and Digital Communication, the World Economic Forum, and the World Bank.
In 2018, I received the “Academic Excellence” Global Competition Review Award, which recognizes “an academic competition specialist who has made an outstanding contribution to competition policy.” I have published a first book (Bruylant ed.) on “predatory innovation in antitrust law” and articles at Harvard University, Stanford, MIT, Oxford, NYU, Berkeley, and Georgetown, among others.
In recent years, I have focused most of my research on blockchain antitrust, computational antitrust, and complexity science. I have written the world’s most downloaded antitrust articles (see rankings) in 2018 (“The Blockchain Antitrust Paradox”), 2019 (“Collusion by Blockchain and Smart Contracts”), 2020 (“Blockchain Code as Antitrust”), 2021 (“Computational Antitrust: An Introduction and Research Agenda”), 2022 (“Complexity-Minded Antitrust”), and 2024 (“Measuring the Openness of AI Foundation Models: Competition and Policy Implications”) My most recent book, “Blockchain + Antitrust”, was published in September 2021.
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In a word, my research gravitates around the complexity of digital markets and their regulation. I spend most of my research time exploring related issues in/on these four initiatives:
