Stevie Chancellor

Stevie Chancellor is an Assistant Professor in the Department of Computer Science & Engineering at the University of Minnesota, affiliated with the GroupLens Research Lab. Her research focuses on human-centered AI for high-risk health behaviors in online communities, emphasizing ethical practices in machine learning. She holds a Ph.D. in Human-Centered Computing from Georgia Tech (2016) and a postdoctoral fellowship at Northwestern University (2017–2020). Her work addresses mental health behaviors such as eating disorders, opioid use, and suicide prevention, leveraging digital trace data from social media platforms like Reddit and TikTok.

Key contributions include critical analyses of predictive mental health models, moderation labor in online communities, and AI-driven interventions for mental health. She has been supported by grants from NSF, Amazon, Cisco, and Google. Notable awards include the Best Paper Honorable Mention at FAccT 2023 and CSCW Impact Recognition. Her research bridges technical innovation with ethical considerations, advocating for community-engaged frameworks in AI development.

• Education:
  • Ph.D., Human-Centered Computing, Georgia Tech, 2016
  • Postdoc, Northwestern University, 2017–2020
• Grants: NSF, Amazon Research Award, Cisco Research, Google
• Labs/Teams: GroupLens Research Lab, Collaborations with Wikimedia and TikTok

Her advising includes PhD students like Hanlin Li and Ashlee Milton. Recent work explores cross-cultural depression detection on Twitter and ethical data practices in AI.