Zifan Wang
Research Scientist at Meta
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolZifan Wang is a research scientist based in London with eight years of experience at the intersection of AI safety, robust machine learning, and autonomous agents. Currently at Meta’s Superintelligence Lab, he focuses on red teaming and agent robustness after leading research and safety efforts in Scale AI’s SEAL team and building agent infrastructure at Tiny Fish. His background blends deep academic training from Carnegie Mellon (PhD) with hands-on research internships at Google and practical ML engineering roles delivering explainability and robustness solutions in industry. Zifan has a track record of translating adversarial and robustness research into production-facing systems, and he has repeatedly worked on making frontier models safer for deployment. An unconventional thread through his career is building infra to let engineers and models co-design agents, reflecting a product-minded approach to research.
8 years of coding experience
2 years of employment as a software developer
Bachelor's degree Electrical and Electronics Engineering, Bachelor's degree Electrical and Electronics Engineering at Beijing Institute of TechnologySummer Intern Computer Science, Summer Intern Computer Science at National University of SingaporeDoctor of Philosophy - PhD Electrical and Computer Engineering, Doctor of Philosophy - PhD Electrical and Computer Engineering at Carnegie Mellon UniversityHong Kong University of Science and Technology (HKUST)
Github Skills (14)
interpretation7
evaluation5
machine-learning5
leaderboard5
deep-learning3
evaluation-framework3
pytorch3
datasets3
arxiv2
llm2
github-pages2
verification2
audio2
llmops1
Programming languages (3)
Github contributions (5)
zifanw/zifanw.github.io
May 2020 - Sep 2023
Contributions:45 pushes, 1 branch in 3 years 4 months
zifanw/boundary
Mar 2021 - Aug 2021
Contributions:13 commits, 5 pushes in 4 months
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