I'm a Technical Researcher at Data & Society's Algorithmic Impacts Lab (AIMLab). My work addresses issues of auditing and accountability in algorithmic systems, their social justice and participatory roots, and their policy implications. 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.
I recently finished my Ph.D. from the department of Computing and Information Science at Cornell University, where I was honored to work with Karen Levy and Solon Barocas. My dissertation addresses some of the normative and practical challenges of doing audits thoughtfully and effectively — specifically, by identifying what audits can and can not demonstrate, the difficulties of applying methods to unique use cases, and the tools and resources that can help support auditors in conducting thorough and consequential evaluations.