President, Chief Scientist

Philip Tetlock is a PIK (Penn Integrates Knowledge) Professor, cross-appointed in the School of Arts and Science and Wharton at the University of Pennsylvania. He is the author of Expert Political Judgment (2005) and Superforecasting (2015)—and of 100+ peer-reviewed articles that have been cited 100+ times. Phil co-created the Good Judgment Project, the winning research team in IARPA’s series of geopolitical forecasting tournaments, and is a co-founder and advisor of Good Judgment Inc.

CEO

Josh works on increasing the relevance of forecasting for policymakers and managing research projects at FRI. He is also a part-time Senior Advisor at GiveWell, where he spent several years as a manager of the research team, a co-lead on experimental grantmaking, and the lead hiring manager for the research and content editing teams.

Director of Research

Ezra is an applied microeconomist in the research group at the Federal Reserve Bank of Chicago, where he develops methods for forecasting unresolvable questions and constructing high-frequency indices that track policy-relevant economic indicators. He was previously an accurate research subject in IARPA’s ACE, HFC, and FOCUS forecasting tournaments.

Senior Research Manager

Bridget is a researcher interested in improving policy decision-making. After originally qualifying and working as a medical doctor in Australia, Bridget specialised in public health medicine, working in academia, government, and international non-governmental organisations. She is currently a DPhil candidate at the University of Oxford, conducting research into effective biosecurity policy, including into the role of forecasting in developing and evaluating policies.

Head of Operations

Astrid works on maximising impact through efficient operations and project management. She has a background leading operations in early-stage startups in both the non-profit and corporate worlds. Previously, Astrid developed sustainable systems and infrastructure for a rapidly growing team at Good Law Project, a UK non-profit working to achieve change through the law.

Senior Research Analyst

Jessie is a behavioral scientist with a background in evolutionary biology. In addition to working part-time at FRI, she is Alaska Climate Strategy Director at The Nature Conservancy. She has many years' experience in applied social science research, from designing and testing "nudges" in randomized controlled trials to running large-scale public health surveys.

Research Analyst

Sam is a researcher and writer with a background in political science. He previously worked at Social Change Lab conducting research into the effectiveness of protests and social movements. He received an Emergent Ventures grant from the Mercatus Center in 2022 to write about Effective Altruism and social science. He has been forecasting since 2020, and he became a Superforecaster in 2021.

Research Analyst

Alexa is a researcher with a background in AI governance. While a philosophy and physics student at Yale, she conducted research on LLM lie detection with Owain Evans and cooperative AI evaluations at the Center on Long-term Risk. Prior to FRI, her work has also explored the AI progress and safety landscape in China. She is excited about using forecasting to inform global governance of emerging technologies. 

Data Analyst

Zach is a data analyst who, since 2019, has been working with Professor Tetlock and others at the University of Pennsylvania on various forecasting research projects. He served as a research subject and, in later stages, as a research assistant during IARPA's FOCUS forecasting tournament.

Data Analyst

Houtan is a programmer with a background in economics. Before joining FRI, he created a forecasting platform for Bakboka where forecasts were used to inform their consulting work. He previously worked as a programmer on the Dynare project and, before that, as a research assistant at the Federal Reserve Board.

Data Analyst

Otto is a computational science graduate from the University of Amsterdam with a background in mathematics. He is passionate about exploring the systems humanity has developed and understanding how they shape our future. As a modeller, he is particularly interested in the models forecasters use to make their predictions.

Data Analyst

Connacher is a data analyst with a background in economics research. Prior to FRI, he was a PhD student at UChicago and contributed to poverty measurement research. He previously worked as a management consultant. He is especially interested in public perception of and preparation for tail risk.

Operations Associate

Christina focuses on optimizing internal processes to support FRI's growing impact. She has a background in chemical engineering, curriculum development, and coordinating university programs. Before joining FRI, Christina fostered scientific collaboration in the alternative protein sector at The Good Food Institute.

Data Analyst

Rebecca is a physics graduate with a background in astrophysics and cosmology research. She is deeply curious about how human judgemental forecasts shape major decisions and strategies. As a data analyst at FRI, she is particularly interested in ensuring these processes remain transparent and grounded in scientific rigor.