Hi! I am a Ph.D. student in the Human-Computer Interaction Institute (HCII) at Carnegie Mellon University advised by Hong Shen and Laura Dabbish. I collaborated with Jina Suh, Mary L. Gray, and Mary Czerwinski at Microsoft Research on research focused on identifying and addressing AI harms through red teaming.

Prior to the start of my Ph.D., I was fortunate to have the opportunity to explore human-centered research across a few different institutions. At the University of Minnesota, I worked with Stevie Chancellor on mental health content moderation. At the University of Washington, I collaborated with Amy X. Zhang to study personalized content moderation. And, at Rutgers University, I worked with Shagun Jhaver examining user perspectives on content moderation.

Broadly, my research interests span the areas of AI safety, AI ethics, red teaming, content moderation, social computing, future of work, and responsible AI. I aim to build processes and tools to support the human infrastructure within AI development, enabling safer AI systems through practices such as AI red teaming. I am a recipient of the National Science Foundation (NSF) Graduate Research Fellowship Program (GRFP). My research has since been supported by the National Institute of Standards and Technology (NIST) and Microsoft.

Outside of my work, I'm passionate about mentorship, encouraging broader participation in computing, and supporting students interested in doing research. I'm always happy to chat about potential collaborations or research 😊.

Recent News

Apr 2025

Attended my first CHI in Barcelona, Spain presenting a paper "Worker Discretion Advised" and organizing the HEARTS workshop

May 2025

Presented in Bergen, Norway at CSCW 2025: "AURA: Supporting Responsible AI Content Work"

Sep 2024

Started my Ph.D. at Carnegie Mellon University HCII

May 2024

Graduated with B.S. Computer Science from University of Minnesota

Education

  • Ph.D. Computer Science, Carnegie Mellon University
    2024–present
  • B.S. Computer Science, University of Minnesota
    2020–2024

Interests

  • human infrastructure for AI πŸ‘©πŸ»
  • AI evaluation βœ…
  • future of work πŸ‘©πŸ»β€πŸ’»
  • social computing 🌐

Recent Publications

All publications β†’
Conference CHI 2026

Worker Discretion Advised: Co-designing Risk Disclosure in Crowdsourced Responsible AI (RAI) Content Work

Preprint arXiv 2026

Towards Apples to Apples for AI Evaluations: From Real-World Use Cases to Evaluation Scenarios

arXiv preprint arXiv:2605.07986

Conference CSCW 2026

Locating Risk: Task Designers and the Challenge of Risk Disclosure in Crowdsourced RAI Content Work

Proceedings of the ACM on Human-Computer Interaction 10 (2), 1-32

Workshop CHI 2026

Human Expertise for AI Red-Teaming and Scalable Evaluation

Preprint FAccT 2026

Beyond the Single Turn: Reframing Refusals as Dynamic Experiences Embedded in the Context of Mental Health Support Interactions with LLMs

arXiv preprint arXiv:2602.01694