Summary
David Manheim is a methodology lead and policy researcher with 11+ years of experience applying quantitative decision theory, risk modeling, and programming to reduce large-scale catastrophic risks, especially in biosecurity and AI alignment. He combines academic rigor from doctoral work at Pardee RAND with hands-on experience in forecasting (original Good Judgment Project superforecaster and top Metaculus performer) and policy practice across NGOs, standards bodies (ISO/IEC SC42), and government-adjacent initiatives. David has led interdisciplinary projects from probabilistic model validation at RMS to postdoctoral public-health research, and founded ALTER to translate long-term risk research into actionable policy. Notably, he pairs expertise in extreme-tail risk and Monte Carlo/Bayesian methods with experience automating model pipelines and training stakeholders to interpret complex models. Based in Israel, he bridges technical modeling, legislative strategy, and stakeholder engagement to make high-stakes decision-making more robust and evidence-driven.
11 years of coding experience
12 years of employment as a software developer
B.S. Mathematics, B.S. Mathematics at Lander College for Men
Talmudic Law Talmud, Talmudic Law Talmud at Derech Etz Chaim
PhD Student Public Policy / Decision Theory, PhD Student Public Policy / Decision Theory at RAND School of Public Policy
Mathematics, Mathematics at The Hebrew University of Jerusalem
Post-Doctoral Researcher Public Health, Post-Doctoral Researcher Public Health at University of Haifa
Hebrew, English