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Jonathan Ivey

PhD Student at Johns Hopkins University


I am a PhD Student in Computer Science at Johns Hopkins University co-advised by Anjalie Field and Ziang Xiao. Previously, I completed my undergraduate degrees in data science and mathematics at the University of Arkansas where I was advised by Dr. Susan Gauch and collaborated with Dr. David Jurgens at the University of Michigan.

I am passionate about understanding others, and I am broadly interested in using AI to understand people better. My current research explores that interest by developing AI that can ask good questions (e.g., conducting interviews, doing patient intake). As part of that research, I am also interested in measuring data quality, evaluating conversational systems with simulations, and applying AI in high-stakes domains. Before my PhD, I worked on annotator agreement, LLM simulations, and stress detection.

If any of this interests you or you’d like to chat about something else. Don’t hesitate to reach out!

News

October 2026

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Our new preprint, InterviewPlayground: A Validated Simulation Environment for Evaluating AI Interviewers, is out now.
September 2026

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Our paper, What Makes a Good Response? An Empirical Analysis of Quality in Qualitative Interviews, has been accepted to EMNLP 2026 (Oral).
September 2026

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Our new preprint, Clinician-Grounded Quality Assurance for AI-Assisted Psychiatric Intake, is out now.
More News

Latest Posts

Selected Publications

  1. InterviewPlayground.png
    InterviewPlayground: A Validated Simulation Environment for Evaluating AI Interviewers
    Jonathan Ivey, Aimee Liang, Arthur Y. S. Wang, and 3 more authors
    Preprint, 2026
  2. InterviewQuality.png
    What Makes a Good Response? An Empirical Analysis of Quality in Qualitative Interviews
    Jonathan Ivey, Anjalie Field, and Ziang Xiao
    EMNLP 2026 (Oral)
  3. RealOrRobotic.png
    Real or Robotic? Assessing Whether LLMs Accurately Simulate Qualities of Human Responses in Dialogue
    Jonathan Ivey, Shivani Kumar, Jiayu Liu, and 12 more authors
    ACL 2026 (Findings)
More Papers