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Yuning Yang

AI Researcher at FDA

I am a full-time AI researcher at FDA advised by Qi Liu, Hadi Kharrazi, and David C. Fajgenbaum. I am currently working closely with Yuzhe Yang and Ying Nian Wu as well. My recent research interests are in AI agents in Healthcare and Foundation model in Pharmacology.

Before joining the FDA, I earned an M.Eng. in Artificial Intelligence from the University of California, Los Angeles, and a B.Sc. in Computer Science and Quantitative Economics at the University of California, Irvine. I was also fortunate to be advised by Amir M. Rahmani at the UCI HealthSciTech Group, and Guang Cheng at UCLA, where I researched synthetic data through deep generative modeling.

If you are a student interested in research about AI for health or would like to collaborate, please email me!

Contact: yuningyang at ucla dot edu / Yuning dot Yang at fda dot hhs dot gov

Selected Publications [full list]

(*) denotes equal contribution

  1. ACL 2025
    Quantifying Preferences of Vision-Language Models via Value Decomposition in Social Media Contexts
    Jingxuan Li*, Yuning Yang*, Shengqi Yang, Yizhou Zhao, and Ying Nian Wu
    In Annual Meeting of the Association for Computational Linguistics
  2. Under Review
    TimeAutoDiff: Generation of Heterogeneous Time Series Data via Latent Diffusion Model
    Namjoon Suh, Yuning Yang, Din-Yin Hsieh, Qitong Luan, Shirong Xu, Shixiang Zhu, and Guang Cheng
    In Submission.