Autumn 2026 Fellowship

Tobias von Arx
MSc in Data Science, ETH Zurich | Callosum, Member of Technical Staff

Tobias develops AI infrastructure and has a background in AI systems and security. His interests center on how AI spreads through society and the economy, and on the trade-offs that broader access creates, particularly the questions of risk and trust at the heart of the open- versus closed-weight debate.

Dr Fabian Broeker
PhD in Culture, Media and Creative Industries, King's College London | Digital Anthropologist & Filmmaker

Fabian is interested in how AI is coming to mediate personal relationships, and in its wider consequences for the creative industries, a field in which he also works as a filmmaker. His ethnographic research on dating app users in Berlin was published as a monograph with Routledge.

Dr Adoración Guzmán-García
PhD in Cognitive Science, Paris Sciences et Lettres & Institut Paul Bocuse & Aprifel | Human and Artificial Cognition Lab, Cognitive Scientist

Adoración examines how language, cognitive biases, and social influence shape beliefs and behaviour. She has experience in human–AI interaction and in applying scientific evidence to public policy. She is particularly interested in bringing insights from human cognition and behaviour to AI governance.

Grace Harlan
MTS Candidate in Religion, Politics, and Ethics at Harvard Divinity School | Berkman Klein Center for Internet and Society, Research Assistant

Grace's interests span how moral and religious framing shapes public discourse about AI, how corporate personhood models complicate accountability for AI governance, and what pluralistic approaches to AI design might look like. Her work also includes survivor-centered platform policies for non-consensual intimate imagery.

Akiya Hoken
MSc Cognitive and Decision Sciences, University College London | Independent Researcher

Akiya works at the intersection of machine learning, cognitive science and mental health. His research at UCL used NLP and explainable machine learning to explore the potential of digital behavioural measurement for supporting the clinical assessment of neurodevelopmental conditions. He is interested in the effects of AI on how people think and seek help.

Jenna Jones
MA in Human Rights and Global Risk, Sciences Po Paris | Art for Human Rights, Deputy Director

Jenna is interested in how AI intersects with human rights and conflict, from its use in monitoring and documenting abuses to its role in shaping conflict dynamics. She would like to understand how increasingly powerful AI systems shift power dynamics and affect inequality, and how governance can ensure accountability to the people and societies they affect.

Jane H. Lee
PhD Candidate in Computer Science (Machine Learning), Yale University | Google, Student Researcher

Jane's work has focused on improving algorithms under data constraints. She has worked at technology companies including Twitter (now X), Meta, and Google, and at financial firms including Morgan Stanley and Goldman Sachs. More recently, she has turned to questions of ownership raised by the growing volume of AI-generated content.

Sebastian Moore
MSc Candidate in Digital and Technology Solutions, Henley Business School | Digital Strategist

Sebastian is interested in the tension between adopting AI at pace and remaining accountable to the public for the decisions it shapes, particularly the gap between how governments describe human oversight of algorithmic decision-making and how that oversight works in practice. He has been named in the AI 100 UK by Digital Leaders and in Apolitical's Government AI 100.

Agnete H. Morell
MPhil in Digital Humanities, University of Cambridge | Morph Innovation, Digital Design Lead

Agnete is an artist, researcher, and digital design lead working at the intersection of wearable health tech, longevity, and humanities. Her research examines how sleep-tracking technologies and the commodification of biometric data turn rest into a site of optimisation and governance. She draws on critical data studies and feminist technoscience.

Juan Ocampo
MSc in Advanced Epidemiology and Biostatistics at EHESP (France) | Biomedical Data Science Lab at ETH Zurich, Scientific Assistant

As AI increasingly shapes critical sectors like clinical research and public policy, Juan explores the frameworks we use to evaluate these systems in high-stakes decision-making. His work seeks to ensure these tools are reliable and transparent before they impact human lives.

Dr Kirtan Padh
PhD in Computer Science, Technical University of Munich | AI Transparency Institute, Scientific Collaborator

Kirtan's research spans both technical and qualitative methods, and includes AI evaluations, and safety research. His work aims to equip policymakers with the evidence needed to keep AI development beneficial to human society. He represented AI Transparency Institute in EU-level policy discussions, including the GPAI Code of Practice.

Dr Katerina Papatheodorou
PhD in Community Psychology, Georgia State University | Digital Hate Review, Editorial and Outreach Coordinator

Katerina is a psychologist and terrorism researcher focusing on the digital manifestations of misogyny, the connections to offline violence, and potential consequences of labeling such violence terrorism. Her work sits at the intersection of psychology, law, and technology, and she is now exploring whether AI systems are replicating and amplifying patterns of extremism and misogyny.

Annabelle Rondeau
MA in Philosophy (Applied Ethics), University of British Columbia | Sentient Futures, Fellow

Annabelle is a philosopher interested in the epistemic impacts of conversational AI use. She is particularly motivated by understanding how human-AI interactions are shaping human thought, memory, creativity, and judgement. Her current work investigates historical shifts and upheavals connected to the advent of word-based technologies.

Dr Anteneh Tirusew
Doctor of Medicine (MD), University of Gondar | Digital Health Entrepreneur

Anteneh is a physician focused on the application of AI in healthcare and its impact on clinical practice, patient autonomy, and health systems. He is interested in the growing use of open-source AI by patients to interpret symptoms and health information is reshaping clinical decision-making and the traditional doctor–patient relationship.

Charlotte Yuan
Master of Public Policy, University of California, Berkeley | Center for Long-Term Cybersecurity, Nonresident Research Fellow

Charlotte conducts policy research on AI risk management standards and develops strategic recommendations on issues ranging from deepfakes to internal use of AI models. Charlotte's interests include US-China AI competition, semiconductor export controls, and global AI governance.