I am a Research Fellow and Stipendiary Lecturer at the University of Oxford specializing in AI security and multi-agent learning. My work focuses on developing frameworks to ensure the trustworthiness, safety, and security of advanced AI systems by building on deep epistemic, information-theoretic, and game-theoretic foundations.

My research addresses critical challenges in distributed artificial intelligence, drawing on my background in theoretical physics, computer science, and complex systems science. This interdisciplinary approach led to the establishment of Multi-Agent Security in 2023, a field addressing emerging safety and security concerns in systems of adaptive AI agents.

My contributions to undetectable threats, perfectly-secure steganography, and learning in multi-agent systems have advanced foundational AI research, garnering coverage in Quanta Magazine and Scientific American. Current research interests include high-dimensional anomaly detection, LLM reasoning, and multi-agent LLM post-training in the context of emerging abilities.

My work on misinformation with Adobe Research and BBC Verify recently brought me into BBC News studios, reaching 2-5 million viewers. I’ve been invited to speak on AI policy at prestigious venues including the 2023 Munich Security Forum and the 2025 Schmidt Futures x Palo Alto Networks x RAND Corporation Agent Security Convening in Santa Clara. I also collaborate with leading research institutions including Google DeepMind, Microsoft, OpenAI, and Lawrence Livermore National Laboratory.

As an educator, I’ve developed the world’s first doctoral-level course on the Frontiers of Cooperative AI and serve as a Stipendiary Lecturer in Computer Science at St Catherine’s College, Oxford, where I teach undergraduate tutorial groups.

Supervision

Please contact me if you are interested in working with me. I supervise undergraduate projects, master’s theses, and co-supervise Ph.D. projects in a wide range of topics in both deep multi-agent learning,
information security, and foundational AI.

Some of my current students and mentees include:

• Julia Karbing (DPhil student funded by OpenPhil, CAIS, and a Cooperative AI Foundation PhD Fellowship)
• Sumeet Motwani (DPhil student funded by Eric Schmidt, and a Cooperative AI Foundation PhD Fellowship)
• Constantin Venhoff (DPhil student funded funded by OpenAI, formerly MSc Advanced Computer Science student with me)
• Tala Jafari (Research Assistant and an incoming Ph.D. student at MIT, formerly an MSc Advanced Computer Science student with me)

Some of my past students and mentees include:

• Linas Nasvytis (MSc Statistics student, formerly a Research Fellow at Harvard University (Psychology and ML) and now a Ph.D. student at Stanford)
• Yat Long Lo (MSc Computer Science student - winner of Tony Hoare Prize for best MSc Thesis in Computer Science, formerly Dyson Robot Learning Lab now Amazon AGI)
• Khaulat Abdulhakeem (mentee, now MS Education Data Science at Stanford University)
• Eshaan Agrawal (mentee and collaborator, formerly ORISE Fellow at the Department of Energy and now at McKinsey)