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 75 antitrust agencies. In parallel, Thibault is an Adjunct Professor of Law at Cornell Tech, New York. He is the founder and Editor-in-Chief of the Network Law Review, and host 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.” His second book, “Blockchain + Antitrust”, was published in September 2021 (Edward Elgar). He has more recently co-edited “Artificial Intelligence and Competition Policy” (Concurrences, 2024). Thibault has also published over 50 academic articles in venues such as Oxford Industrial & Corporate Change; Oxford Journal of Competition Law & Economics; European Journal of Risk Regulation; Journal of Institutional Economics; European Journal of Law & Economics; Computer Law & Security Review; Harvard Journal of Law & Technology; Berkeley Technology Law Journal; Harvard Business Law Review; Columbia European Law Journal; Law, Innovation and Technology; Information & Communications Technology Law; NYU Journal of Law & Liberty; and Oxford Journal of European Competition Law & Practice.

In recent years, Thibault has focused most of his research on digital antitrust law, computational antitrust, and blockchain antitrust. He consistently ranked among the top 50 most downloaded legal authors on SSRN, across all legal fields.

Thibault has written the world’s most downloaded antitrust articles on SSRN (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”), 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”). In 2025, Thibault published the world’s most downloaded antitrust article on SSRN (“Adaptive Regulation”), in which he explored the adaptive features of the EU Digital Markets Act alongside other regulatory regimes.

Thibault received the “Academic Excellence” Global Competition Review Award, which recognizes “an academic competition specialist who has made an outstanding contribution to competition policy.”