I'm broadly interested in fairness questions about ML development and deployment in societally critical spaces. I'm particularly interested in (a) understanding various tensions, expectations, and subtle technical assumptions that go into developing ML-based information systems and (b) developing tools to support ML practitioners and other stakeholders in their fairness-related works in practice. My research is interdisciplinary and spans topics in FATE, Machine Learning, Social Networks, and HCI.