Ruth Fong

Ruth Fong is a Teaching Professor in the Department of Computer Science at Princeton University since July 2021. Her academic journey includes a Ph.D. in Engineering Science (2020) and an M.Sc. in Neuroscience from the University of Oxford, where she was funded by the Rhodes Trust and Open Philanthropy. She completed her B.A. in Computer Science at Harvard University.

• Research Focus: Computer Vision, Machine Learning, Explainable AI (XAI), ML Fairness, Human-Computer Interaction (HCI)
• Key Techniques: Post-hoc model analysis, interpretable-by-design architectures, interactive visualization tools, concept-based explanations

Her 15 most recent publications (2023-2025) span topics in interactive explainability, gender artifacts in datasets, concept-based explanation frameworks (UFO, ELUDE), and real-world AI trust dynamics. Collaborative work with Olga Russakovsky's Visual AI Lab appears prominently.

• Scientific Recognition:
  • Rhodes Scholarship (2015)
  • Open Philanthropy AI Fellowship (2018)
  • Princeton Engineering Council Teaching Award (2025)
  • Keller Center Summer Course Development Grant (2025)
  • CHI Honorable Mention (2023)

As director of Princeton's Looking Glass Lab, she mentors students like Indu Panigrahi and Sunnie S.Y. Kim. Her teaching portfolio includes COS324 (Machine Learning) and COS126 (Intro CS), where she implemented an open-ended final project gallery.