AI Futures Project

Daniel KokotajloExecutive Director

Daniel oversees our research and policy recommendations. He previously worked as a governance researcher at OpenAI on scenario planning. When he left OpenAI, he called for better transparency of top AI companies. In 2021, he wrote What 2026 Looks Like, an AI scenario forecast for 2022-2026 that held up well. See also his Time100 AI 2024 profile.

Eli LiflandResearch Lead

Eli works on scenario forecasting and specializes in forecasting AI capabilities. He also co-founded and advises Sage, which builds interactive AI explainers. He previously worked on Elicit, an AI-powered research assistant, and co-created TextAttack, a Python framework for adversarial examples in text. He ranks first on the RAND Forecasting Initiative all-time leaderboard.

Thomas LarsenResearch Lead

Thomas works on scenario forecasting and focuses on understanding the goals and real-world impacts of AI agents. He previously founded the Center for AI Policy, an AI safety advocacy organization, and worked on AI safety research at the Machine Intelligence Research Institute.

Romeo DeanResearcher

Romeo specializes in forecasting AI chip production and usage. He graduated cum laude from Harvard University with a concurrent master's in computer science and a research focus in security and hardware. He previously was an AI Policy Fellow at the Institute for AI Policy and Strategy.

Lauren ManglaChief Operating Officer

Lauren works on comms, media relations, hiring, and tabletop exercises, and manages the ops team. Previously at Constellation—an AI safety research center—she made strategic decisions on membership and events. Before that, she served as Executive Director of the Supervised Program for Alignment Research (SPAR), an AI safety fellowship. She's also held internships at NASA and in NYC policy and government.