Briana vecchione

I'm a Technical Researcher at Data & Society's Algorithmic Impacts Lab (AIMLab). My work focuses on auditing and accountability in algorithmic systems, particularly at the intersection of social justice, participatory design, and policy. I hold a Ph.D. from the Department of Computing and Information Science at Cornell University, where I had the honor of working with Karen Levy and Solon Barocas. My work has been supported by a Facebook Fellowship, MacArthur Foundation grant, Mozilla Foundation grant, Notre Dame-IBM Tech Ethics Lab grant, and a Google Women Techmakers scholarship. In the past, I've also spent some time at Microsoft, Spotify, and the Mozilla Foundation. For more details about my previous work, see my Google Scholar.

Recently, I’ve been interested in the intersection of large language models, mental health, wellness, and the ethical implications of using technology to address human well-being. My research increasingly focuses on how AI can—and cannot—support holistic mind-body processes. Specifically, I’m exploring how trauma-informed, somatic methods, along with insights from cognitive science, can be integrated into AI-driven wellness technologies to support emotional and physical healing by recognizing the intricate connection between body and mind.