Tamay is the associate director at Epoch. His work focuses on the economics of computing and big-picture trends in machine learning. Previously, he was a researcher at the Future Tech Lab at MIT, led strategy for Metaculus, consulted for the UK Government, and worked at the Future of Humanity Institute.
David is a researcher with a background in computer vision and machine learning. He is interested in analysing and predicting model capabilities, and using empirical data to explore AI deployment in the real world. Before joining Epoch, David worked in an industrial research lab developing AI models for surgical video.
Pablo has a background in Mathematics and Computer Science. After spending some time as a software engineer, he decided to pivot towards AI. His interests include the economic consequences of advanced AI systems and the role of algorithmic improvements in AI progress.
Ben’s research interests include the diffusion of AI capabilities among actors, and measuring the effects of different inputs to AI progress. Previously, he was a Research Fellow at Rethink Priorities, and spent time as a software engineer. Ben has a background in Machine Learning.
Robi manages the databases for Epoch’s hardware and machine learning datasets, and collects data on new AI systems.
Robi is also a contributor to the Stanford AI Index Report and a volunteer for his local effective altruism chapter.
Before joining Epoch, Robi received a master’s degree in data science from Harvard University.
María is a Special Projects Coordinator at Rethink Priorities, Epoch’s fiscal sponsor. She manages operations at Epoch, along with Rethink’s core operations team. She has a background in philosophy. Previously, María co-founded a communications consultancy after having worked in publishing and journalism.
Lennart supports Epoch’s research and strategy. He extracts the strategy and policy implications of Epoch’s investigation for the AI governance community.
In his primary role, Lennart is a researcher at the Centre for the Governance of AI in Oxford, focusing on Compute Governance. His research interests include the role of compute in the production of AI, the compute supply chain, forecasting emerging technologies, and the security of AI systems. His time is split into the strategic and technical analysis of the compute governance domain and active policy engagement with GovAI’s policy team.
Daniela Amodei is Co-Founder and President of Anthropic. She was previously at Stripe and OpenAI, and has also served as a congressional staffer.
Tom is a senior research analyst at Open Philanthropy. He’s currently working on assessing arguments that transformative AI might be developed relatively soon. Prior to joining Open Philanthropy, Tom worked as a Data Scientist for education technology startup BridgeU and taught science at a UK comprehensive school. He has a Masters in Physics and Philosophy from the University of Oxford.
Neil is an Innovation Scholar at MIT’s Computer Science and Artificial Intelligence Lab and the Initiative on the Digital Economy where he leads the FutureTech Project. He is also an Associate Member of the Broad Institute.