Yoav Tzfati
Bio
Yoav Tzfati is an AI safety researcher and software engineer based in Berkeley, California. He is a MATS 5.0 alumnus who worked on scalable oversight research, specifically on experimental methodology for evaluating AI alignment techniques including Consultancy and Critiques in synthetic settings, mentored by Julian Michael of the NYU Alignment Research Group. He subsequently joined the Security Level 5 (SL5) Task Force at the Institute for Security and Technology as a Member of Technical Staff, focusing on supply chain and machine security, and contributes to developing the SL5 standard for securing AI data centers. He is also a mentor for SPAR Spring 2026 projects related to AI security and safety infrastructure. Prior to his AI safety work, he drove engineering for attack surface discovery automation at CyCognito and served as Tech Lead at Arbor Trading Bootcamp. He has spoken at the Berlin AI Safety Meetup on his scalable oversight research and has also developed educational programs teaching non-programmers to build full-stack applications using AI tools.
Grants
from Long-Term Future Fund
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Details
- Last Updated
- Mar 23, 2026, 2:03 AM UTC
- Created
- Mar 20, 2026, 3:00 AM UTC