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 😊.

Upcoming

Aug 2026

Attending Mensch und Computer 2026

Mensch und Computer 2026 πŸ‡©πŸ‡ͺ Duisburg, Germany
Oct 2026

Attending HCOMP 2026

HCOMP 2026 πŸ‡ΊπŸ‡Έ Washington, D.C.
Nov 2026

Attending CSCW 2026

CSCW 2026 πŸ‡ΊπŸ‡Έ Salt Lake City, UT

Recent News

Jul 2026

Organized a workshop "Where to Put the Human: Designing HITL vs. HOTL" and panel "Beyond the Algorithm: How AI Is Reshaping Trust & Safety Operations" at TrustCon 2026

TrustCon 2026 πŸ‡ΊπŸ‡Έ San Francisco, CA
Jul 2026

Started an internship with Dr. Jat Singh in the Compliant and Accountable Systems Research Group

πŸ‡©πŸ‡ͺ DΓΌsseldorf, Germany
Jun 2026

Attended my first FAccT, organizing a CRAFT workshop on ethical curation of data for foundation models

FAccT 2026 πŸ‡¨πŸ‡¦ Montreal, Canada
Apr 2026

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

CHI 2026 πŸ‡ͺπŸ‡Έ Barcelona, Spain
Oct 2025

Presented the AURA paper and organized a SIG at CSCW 2025

CSCW 2025 πŸ‡³πŸ‡΄ Bergen, Norway
Jun 2025

Served as session chair at Alt FAccT 2025

Alt FAccT 2025 πŸ‡ΊπŸ‡Έ New York City, NY
May 2025

Organized a red-teaming workshop for APS 2025

APS 2025 πŸ‡ΊπŸ‡Έ Washington, D.C.
Nov 2024

Organized "The Human Factor in AI Red-Teaming" workshop at CSCW 2024

CSCW 2024 πŸ‡¨πŸ‡· San JosΓ©, Costa Rica
Oct 2024

Selected to attend CAMLIS as part of NIST ARIA in collaboration with Humane Intelligence

CAMLIS 2024 πŸ‡ΊπŸ‡Έ Washington, D.C.
Sep 2024

Started my Ph.D. at Carnegie Mellon University HCII

πŸ‡ΊπŸ‡Έ Pittsburgh, PA
May 2024

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

πŸ‡ΊπŸ‡Έ Minneapolis, MN
Apr 2024

Awarded the National Science Foundation (NSF) Graduate Research Fellowship Program (GRFP)

πŸŽ“ Fellowship
Oct 2023

Attended my first CSCW, presenting the poster "#Pragmatic or #Clinical"

CSCW 2023 πŸ‡ΊπŸ‡Έ Minneapolis, MN
Jun 2023

Started an internship at Microsoft Research

πŸ‡ΊπŸ‡Έ Seattle, WA

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

Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems

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

Conference CHI 2026

Human Expertise for AI Red-Teaming and Scalable Evaluation

Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems

Conference FAccT 2026

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

2026 ACM Conference on Fairness, Accountability, and Transparency