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Yooyoung Lee (Fed)

Supervisory Computer Scientist

Yooyoung Lee is a supervisory computer scientist at NIST, serving as group leader of the AI Technologies Group within the Technology Test and Evaluation Division of ITL. She also leads the NIST GenAI program, which supports testing and evaluation of generative AI technologies across multiple modalities and helps advance methodologies for AI Testing, Evaluation, Verification, and Validation (TEVV).

Her research has touched on a range of areas, including media forensics, biometrics (iris and face), video analytics, speaker/language recognition, and AI testing and evaluations. Throughout her time at NIST, she has had the opportunity to contribute to programs sponsored by agencies including IARPA, DARPA, the FBI, and DoD.

She holds a Ph.D. in Computer Science and Engineering from Chung-Ang University in South Korea, where her dissertation focused on a Video-based Automatic System for Iris Recognition, including sensitivity and robustness analysis. She also holds a certificate in the Essentials of Forensic Interpretation from the University of Lausanne in Switzerland.

Publications

2025 NIST GenAI Text Challenge Evaluation Plan

Author(s)
Seungmin Seo, Hariharan Iyer, Yooyoung Lee
The NIST Generative AI (GenAI) Text Challenge is an evaluation program designed to probe the capabilities and limitations of generative AI models from three...

2025 NIST GenAI (Pilot): Code Challenge Evaluation Plan

Author(s)
Peter Fontana, Yooyoung Lee, Hariharan Iyer, Sonika Sharma
We are launching a pilot for measuring and evaluating unit tests generated by Artificial Intelligence (AI) for testing elementary python code. This pilot will...
Created July 30, 2019, Updated July 23, 2026
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