Bernie Boscoe

Bernadette (Bernie) Boscoe is a postdoctoral researcher at the Information School, University of Washington, Seattle. Her research focuses on privacy issues of data that contains personally identifiable information. Boscoe is currently conducting research for the Privacy Encodings for Sensitive Data (PESD) project, led by Dr. Nic Weber, also of the UW iSchool. PESD explores the complexities surrounding the sharing and reuse of research data containing privacy-sensitive information. Boscoe seeks to understand the difficulties researchers face when required to make their results public, yet must also preserve the privacy of individuals’ information contained in data.

Prior to joining UW, she was a doctoral student in Information Studies at UCLA, where her work focused on data and code practices in astronomy. She co-founded a machine learning group in the Astronomy and Physics department at UCLA, in which participants explored building models and tools to utilize machine learning techniques in astronomy and other fields.

Boscoe takes a keen interest in ethical considerations within data and analysis practices. Her work aims to synthesize human and computer decision-making to better inform system design. Outside of research, Boscoe enjoys to paint and tend her garden.