Core team

Prof Christoph Winter
Director
Christoph is the Director of the Institute for Law & AI. He is also Assistant Professor of Law at the Instituto Tecnológico Autónomo de México (ITAM), Research Associate in Psychology at Harvard University, and Faculty Advisor to the AI Futures Fellowship. His research focuses on law and governance of advanced artificial intelligence, and he consults various national and international AI legislation initiatives. He studied law, philosophy, and psychology at Harvard University, Princeton University, King’s College London, University of Sydney, and Humboldt University of Berlin.
Cullen O’Keefe
Director of Research

Cullen is the Director of Research at LawAI. Prior to LawAI, Cullen worked at OpenAI in various legal and policy research roles. Cullen is also a Research Affiliate at the Centre for the Governance of AI. Cullen graduated with a JD cum laude from Harvard Law School in 2019.

Dr Matthijs Maas
Senior Research Fellow

Matthijs is a Senior Research Fellow at LawAI. His work focuses on mapping theories of change for long-term AI governance, different international institutional designs for AI, and the effect of AI on international law. He is a research affiliate with the Centre for the Study of Existential Risk, and a non-residential research associate at King’s College, University of Cambridge. He also serves as an expert member of the Consultative Network of the UN High-Level Advisory Body on Artificial Intelligence, as well as the Global Commission on Responsible Artificial Intelligence in the Military Domain. Matthijs received a PhD in Law from the University of Copenhagen, and a MSc in International Relations from the University of Edinburgh. He has previous experience working at The Hague Centre for Strategic Studies and the Dutch Embassy in Beirut, amongst others.

Charlie Bullock
Research Fellow

Charlie is a Research Fellow at LawAI. Charlie's research focuses on the intersection of AI governance and U.S. law and policy, with a particular focus on U.S. administrative law. Charlie received his J.D. from Yale Law School in 2020, where he was an editor of the Yale Journal on Regulation. After law school, Charlie clerked for the Honorable Sue E. Myerscough of the U.S. District Court for the Central District of Illinois and worked as an associate at the law firm of Reichman, Jorgensen, Lehman and Feldberg LLP.

Matteo Pistillo
Research Scholar
Matteo is a research scholar at the Institute for Law & AI. His research concentrates on AI regulation and policy, with a particular focus on the legal aspects of the computational infrastructure necessary to develop and deploy notable AI systems. He is involved in many AI-related initiatives, including as an AI Futures Fellow at the Instituto Tecnologico Autonomo de Mexico and a member of the AI Task Force of the Silicon Valley Arbitration & Mediation Center. Prior to joining the Institute for Law & AI, Matteo worked for five years in cross-border commercial dispute resolution as an associate attorney at Cleary Gottlieb Steen & Hamilton LLP. Matteo holds a J.D., cum laude, from Università di Torino and an LL.M. from Stanford Law School, which he attended while on a Fulbright Scholarship.
Mackenzie Arnold
Director of US Policy

Mackenzie is Director of US Policy at LawAI, where he provides analysis and advice to ensure that advances in AI benefit the public at large. His own research focuses on administrative law, agency decision making, and liability. Prior to joining LawAI, Mackenzie clerked for Judge Joseph A. Greenaway, Jr. of the Third Circuit Court of Appeals, worked in public health law at a New York nonprofit, and graduated, cum laude, from Harvard Law School. Before law school, Mackenzie completed a Fulbright Grant in Ourense, Spain and received his B.A. in political science, summa cum laude, from Boston College, winning the G.F. & J.W. Bemis Award (for exemplary service to others) and the Donald S. Carlisle Award (awarded to the top graduate in political science).

Suzanne Van Arsdale
Senior Research Manager

Suzanne is a Senior Research Manager at LawAI. Her own research areas include administrative law, compute governance, and insurance for risks from AI. Suzanne received her J.D. from Harvard Law School, where she was Editor-in-Chief of the Harvard Journal of Law and Technology and of the Harvard Negotiation Law Review. Prior to joining LawAI, Suzanne worked at the Department of Justice, Civil Division, Intellectual Property Section and as an associate in the patent litigation practice of Sidley Austin LLP. Suzanne is also a Law and Policy Fellow at the Wild Animal Initiative, where she conducts legal and policy research to improve the welfare of wild animals.

Daisy Newbold-Harrop
Operations Manager

Daisy Newbold-Harrop works as LawAI’s Operations Manager. Prior to joining the team, she managed events bringing together academics and professionals working on AI governance, as well as those interested in doing so. She holds an MSc in Global Politics, with a specialization in governance of advanced technologies, from the London School of Economics and Political Science; and a BA in Philosophy and Politics from the University of Exeter, UK.

Eric Martínez
Research Fellow

Eric is a Research Fellow at LawAI. He researches how lawyers, non-lawyer humans and machines create, understand and interpret law, as well as the implications of these findings for both long-standing and cutting-edge questions of law and policy. To answer these questions, Eric’s research complements traditional legal-doctrinal analysis with empirical methods, such as behavioral experiments and observational data analysis. Eric holds a JD from Harvard Law School, is a PhD candidate in cognitive science at MIT, and is admitted to the bar of the Commonwealth of Massachusetts.

Affiliates

Dr José Jaime Villalobos
Research Affiliate

José Jaime Villalobos is a Research Affiliate at LawAI. His work focuses on advocacy for the reduction of global catastrophic risk through international law and impact litigation. José holds a PhD from Victoria University of Wellington and an LLM (international law) from the University of Cambridge, which he obtained as a Chevening Scholar. He has held roles in government, academia, private practice and not-for-profit organisations, including Co-Founder and Chief Editor of the Costa Rican Journal of International Law.

Cecil Abungu
Research Affiliate

Cecil Abungu is a PhD student at the University of Cambridge, Coordinator of the ILINA Program, and Research Affiliate with the Centre for the Study of Existential Risk (University of Cambridge). Cecil’s recent research has focused on the role of developing countries in global catastrophic risk-related governance of AI, liability regimes for highly capable AI, traditional African thought on the long-term future and algorithmic discrimination. He holds an undergraduate law degree from Strathmore Law School in Nairobi and Master’s in law degree from Harvard Law School.

Prof Jeff Sebo
Senior Research Affiliate

Jeff Sebo is Associate Professor of Environmental Studies, Affiliated Professor of Bioethics, Medical Ethics, Philosophy, and Law, Director of the Animal Studies M.A. Program, Director of the Mind, Ethics, and Policy Program, Co-Director of the Wild Animal Welfare Program, and Deputy Director of the Center for Environmental and Animal Protection at New York University. His research focuses on moral philosophy, legal philosophy, and philosophy of mind; animal minds, ethics, and policy; AI minds, ethics, and policy; global health and climate ethics and policy; and global priorities research. He is the author of Saving Animals, Saving Ourselves (2022) and co-author of Chimpanzee Rights (2018) and Food, Animals, and the Environment (2018). He is also a board member at Minding Animals International, an advisory board member at the Insect Welfare Research Society, and a mentor at Sentient Media.

Prof Peter Salib
Senior Research Affiliate

Peter N. Salib is a Senior Research Affiliate at LawAI, an Assistant Professor of Law at the University of Houston Law Center and Associated Faculty in Public Affairs. He also serves as Law and Policy Advisor to the Center for AI Safety and is co-director of the Center for Law & AI Risk, housed at the University of Alabama School of Law. Peter's research applies substantive constitutional doctrine, along with economic analysis, to questions of AI governance. He has previously written about how machine learning techniques can be used to solve intractable-seeming problems in constitutional policy.

Prof John Bliss
Senior Research Affiliate

John Bliss is an Assistant Professor at the University of Denver Sturm College of Law and affiliate faculty at the Harvard Law School Center on the Legal Profession. He holds a JD and a PhD from UC Berkeley. His research empirically examines the the relationship between lawyers' public interest values and their professional identities. This has included sociological studies of law students and young lawyers in the US and China, historical research on the early civil rights movement, and ongoing studies of the movements for animal rights and the mitigation of AI risk.

Leonie Koessler
Research Affiliate
Leonie is a Research Affiliate at LawAI, and Research Scholar at the Centre for the Governance of AI. Her research focuses on frontier AI regulation and risk management, in particular risk assessment and technical standards. She used to work for the German government, and holds a Master of Laws (LL.M.) from King’s College London and the German First Law Examination (1. Staatsexamen) from her studies at Humboldt-University Berlin.
Prof Kevin Frazier
Research Affiliate

Kevin Frazier is an Assistant Professor at St. Thomas University College of Law and a director of the Center for Law and AI Risk. He completed a Summer Research Fellowship with LawAI in 2023 and currently serves as a Research Affiliate.

Jonas Schuett
Research Affiliate

Jonas is a Research Affiliate at LawAI and a Research Fellow at the Centre for the Governance of AI. His research focuses on improving the governance of advanced AI, with emphasis on regulation and corporate governance. He is also a PhD candidate in law at Goethe University Frankfurt and holds a law degree from Heidelberg University. Previously, he has worked for DeepMind, KPMG and White & Case.

Noam Kolt
Research Affiliate
Noam Kolt is an incoming Assistant Professor at the Hebrew University Faculty of Law and School of Computer Science and Engineering. Noam's research focuses on the regulation of AI, automation in the legal system, and broader questions of institutional design and governance. Alongside his doctoral studies at the University of Toronto, Noam served as a research advisor to Google DeepMind and was a member of OpenAI’s GPT-4 red team. Noam’s scholarship has been published or is forthcoming in the Washington University Law ReviewBerkeley Technology Law JournalYale Law & Policy Review, International Journal of Constitutional Law, and other peer-reviewed venues, including NeurIPSACM FAccT, and Science.
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