Bio

I am an Education Data Science PhD student at Stanford University, advised by Dora Demszky. My research lies at the intersection of human-AI interaction, education, and natural language processing. I study the translational and implementation science of AI systems to develop scalable and sustainable education measures.

In May 2026, I received my Bachelor's with Honors in Computer Science, Statistics, and Digital Studies from Grinnell College. Previously, I interned at Carnegie Mellon University's Human-Computer Interaction Institute and Columbia University.

Honors & Awards

  • NSF Graduate Research Fellowship (GRFP), National Science Foundation (2026)
  • Henry M. and Theresa P. Walker Endowed Prize for Excellence in Computer Science, Grinnell College (2026)
  • Founder's Scholar (Full-Scholarship), Grinnell College (2022)

Education & Certifications

  • Bachelor's, Grinnell College, Computer Science, Statistics, Digital Studies (2026)

Contact

  • Academic
    joygill@stanford.edu
    University - Student Department: Graduate School of Education Position: Graduate

All Publications

  • Investigating the Efficacy of Mastery-Based Tests in Fostering Effective Self-Regulated Learning Behaviors in CS1 Courses Gill, J., Asher, M. W., Carvalho, P. F., ACM ASSOC COMPUTING MACHINERY. 2026: 1663-1664

    View details for DOI 10.1145/3770761.3777163

    View details for Web of Science ID 001780599900225

  • Adversarial Review: Structured Disagreement for Grounded Agentic Code Review Qiu, E. S., Gill, J. International Conference on Machine Learning (ICML) 2026: Deep Learning for Code: Towards Human-Centered Coding Agents Workshop. 2026
  • Voting Protocols as Coordination Mechanisms for Role-Constrained Multi-Agent Tutoring Systems Qiu, E. S., Gill, J. International Conference on Machine Learning (ICML) 2026: Trustworthy AI for Good (AI4GOOD) Workshop. 2026