Viola Zhong is an AI safety researcher and software engineer based in New York with nine years of experience spanning technical research, ML policy, and production data engineering. She has worked at the intersection of fairness and applied ML—forecasting Arroyo v. CoreLogic and publishing ML policy work at ACM FAccT—while building reliable data systems and APIs at DoubleVerify. Her research focuses on how AI models perceive human users, employing mechanistic interpretability to reframe hard safety problems into tractable solutions. Comfortable with intellectual complexity and autonomous execution, she excels at cross-domain pattern recognition and surfacing connections others miss. Viola combines startup product experience with rigorous academic training from NYU, and maintains a public portfolio of her AI safety work at violazhong.github.io.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS, Economics, Bachelor of Science - BS, Economics at Zhejiang Gongshang University
Master of Science (M.Sc.), Data Science and Urban Informatics, Master of Science (M.Sc.), Data Science and Urban Informatics at New York University
Contributions:215 commits, 200 pushes, 1 branch in 4 years 8 months
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