Zifan Wang is a Research Scientist at Meta, focusing on AI Safety, red teaming, and agent robustness in the Meta Superintelligence Lab since September 2025. Previously, Zifan served as Head of SEAL and Senior Research Scientist at Scale AI, working on guardrail robustness in frontier models and the safety of autonomous LLM agents, while also contributing to agent data products. Prior experience includes founding Machine Learning Engineer at Tiny Fish Inc., where efforts centered on building infrastructure for AI agent development, and roles as Research Engineer at the Center for AI Safety and Research Internships at Google, focusing on adversarially robust models and transfer learning. Zifan's earlier career includes machine learning positions at Truera and Hyperception, Inc., with a strong educational background, including a PhD in Electrical and Computer Engineering from Carnegie Mellon University.
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