Dr. Thibault Schrepel, LL.M., research centers around the dynamics and regulation of digital markets, which he explores through the lens of complexity science.
He is an Associate Professor of Law at the Vrije Universiteit Amsterdam University (Amsterdam Law & Technology Institute), and a Faculty Affiliate at Stanford University (CodeX Center), where he founded the “Computational Antitrust” project that brings together over 65 antitrust agencies. Thibault is also the founder of the Network Law Review, and the host of the “Scaling Theory” podcast. He co-created the Dynamic Competition Initiative (“DCI”).
In late 2025, Thibault 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.
His 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.
Thibault has published a first manuscript (Bruylant) on the subject of “predatory innovation in antitrust law” and articles at Harvard University, Stanford, MIT, Oxford, NYU, Berkeley, and Georgetown, among others. His second book, “Blockchain + Antitrust”, was published in September 2021 (Edward Elgar).
In recent years, Thibault has focused most of his research on blockchain antitrust, computational antitrust, and complexity theory. He has written the world’s most downloaded antitrust articles on SSRN 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”), and 2022 (“Complexity-Minded Antitrust”). In 2023 and 2024, three of his articles ranked among the top 10 most downloaded antitrust papers on SSRN globally, with one achieving the highest number of downloads in 2024 (“Measuring the Openness of AI Foundation Models: Competition and Policy Implications”). He has recently co-edited “Artificial Intelligence and Competition Policy” (Concurrences, 2024). Thibault received the “Academic Excellence” Global Competition Review Award, which recognizes “an academic competition specialist who has made an outstanding contribution to competition policy.”
