Researcher

Judith Ellen Fan

Also known as Judith E. Fan

Judith Ellen Fan is a Stanford psychologist whose work connects human drawing and visual reasoning with artificial intelligence. She earned an AB in neurobiology and statistics at Harvard in 2010 and a psychology PhD at Princeton in 2016, then held an assistant professorship at UC San Diego from 2019 to 2023. Her AI papers include Physion in 2021, which tests physical prediction; SEVA in 2023, which tests sketch understanding; and the 2025 SketchAgent paper on drawing through conversation. In 2026, she received the Cognitive Science Society’s Lila Gleitman Prize for work on the cognitive tools people use to learn and communicate. Fan is an assistant professor of psychology at Stanford, with courtesy appointments in Education and Computer Science, and directs the Cognitive Tools Lab.

Works
202
Citations
1,008
h-index
16

Publication numbers from OpenAlex, as of 27 October 2026.

Timeline

  1. 2010–2016

    Harvard and Princeton degrees

    She earns an AB in neurobiology and statistics at Harvard College in 2010 and a PhD in psychology at Princeton University in 2016.

  2. 2017

    A Glushko dissertation prize

    In 2017, she receives the Cognitive Science Society’s Robert J. Glushko Prize for Outstanding Doctoral Dissertation.

  3. 2019–2023

    Psychology at UC San Diego

    After postdoctoral work in Stanford’s Language and Cognition Lab, she becomes an assistant professor of psychology at UC San Diego in 2019. She holds the position through 2023. Her lab builds computational models of visual communication, including sketching and scientific visualization.

  4. 2021

    The Physion benchmark

    In 2021, she coauthors “Physion: Evaluating Physical Prediction from Vision in Humans and Machines.” The benchmark compares models with human predictions about simulated physical events, including collisions, rolling and sliding.

  5. 2023

    Joining Stanford psychology

    She joins Stanford’s Department of Psychology as an assistant professor in 2023.

  6. 2023

    The SEVA sketch benchmark

    At NeurIPS in 2023, she coauthors SEVA, a benchmark with approximately 90,000 human-drawn sketches of 128 object concepts. The work tests how well vision algorithms recognize sketches and match people’s interpretations across different levels of drawing detail.

  7. 2025

    SketchAgent at CVPR

    In 2025, she coauthors the CVPR paper “SketchAgent: Language-Driven Sequential Sketch Generation.” The system uses multimodal large language models to draw stroke by stroke and lets users create, edit and refine sketches through conversation.

  8. 2026

    The Lila Gleitman Prize

    She receives the 2026 Lila R. Gleitman Prize for Early-Career Contributions to Cognitive Science from the Cognitive Science Society. Her work examines how people use drawings, sketches and other physical representations to learn, communicate and solve problems.

  9. October 2026

    Evaluating chart understanding

    In October 2026, she and her coauthors update “Human-centered evaluation of data visualization understanding in vision-language models.” The study compares eight vision-language models with people across six assessments of visualization understanding, finding lower average model performance and distinct error patterns.

  10. As of October 2026

    Directing the Cognitive Tools Lab

    As of October 2026, she is an assistant professor of psychology at Stanford, with courtesy appointments in Education and Computer Science. She directs the Cognitive Tools Lab, which combines cognitive science, computational neuroscience and AI to study how people use physical representations of thought.

Career

  1. Since 2023Stanford UniversityAssistant Professor
  2. NowStanford UniversityAssistant Professor of Education and Computer Science (by courtesy)
  3. NowStanford UniversityDirector, Cognitive Tools Lab
  4. 2019–2023University of California, San DiegoAssistant Professor of Psychology
  5. Stanford UniversityPostdoctoral Researcher, Language and Cognition Lab

Education

  1. 2016Princeton UniversityPhD in psychology
  2. 2010Harvard UniversityAB in neurobiology and statistics

Sources and credits

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  1. Judith Ellen Fan | Computer Science cs.stanford.edu. Checked 27 October 2026.
  2. Judith Ellen Fan's Profile | Stanford Profiles profiles.stanford.edu. Checked 27 October 2026.
  3. People langcog.stanford.edu. Checked 27 October 2026.
  4. Judith Fan css.ucsd.edu. Checked 27 October 2026.
  5. Physion: Evaluating Physical Prediction from Vision in Humans and Machines arxiv.org. Checked 27 October 2026.
  6. H&S welcomes 21 new faculty members humsci.stanford.edu. Checked 27 October 2026.
  7. SEVA: Leveraging sketches to evaluate alignment between human and machine visual abstraction papers.neurips.cc. Checked 27 October 2026.
  8. CVPR 2025 Open Access Repository openaccess.thecvf.com. Checked 27 October 2026.
  9. Gleitman Prize - Cognitive Science Society cognitivesciencesociety.org. Checked 27 October 2026.
  10. Human-centered evaluation of data visualization understanding in vision-language models arxiv.org. Checked 27 October 2026.