Andrew is a DPhil student in Social Data Science at the OII. His research focuses on cooperative artificial intelligence. He studies potential types of human-AI cooperation, the nature of those interactions, and necessary developments to enable that cooperation. On the technical side, he has studied applied machine learning, especially reinforcement learning and natural language processing, for their applications to developing AI.
Andrew holds a B.S. in Applied Mathematics from Yale University and an MSc in Social Data Science from the OII. He is a Clarendon Scholar and was previously a Thouron Prize winner at the University of Cambridge (Pembroke College).
Cooperative AI, artificial intelligence, reinforcement learning, machine learning
A data-driven approach to understanding structural determinants of digital inequalities
DPhil Programme Director (SDS), Lecturer
Luc investigates privacy harms posed by large-scale collections of human data and deployed AI technologies, identifying gaps in how technology is regulated and risks are documented, and proposing better data sharing models for academic research.
Director of Graduate Studies, Departmental Research Lecturer
Adam Mahdi’s research focuses on digital health and application of machine learning in social sciences. He is the director of the UKRI-funded OxCOVID19 Project and a fellow at Wolfson College, University of Oxford.
