I am currently a postdoctoral researcher at the University of Washington, Seattle working on a Sloan-funded data privacy project (PESD) spearheaded by Nic Weber. I am also a UW Data Science postdoctoral fellow at the eScience Institute.
I study today’s perils and promises surrounding privacy-sensitive data, that is, data containing information about humans (for research purposes). I look at data’s use, reuse, how it flows between public and private spaces and resultant implications for researchers and policy formation. From a technical standpoint, data privacy research can involve understanding differential privacy, homomorphic encryption, and other protective processes. It can also involve the surfacing of norms of sharing within various contexts, spaces, and time. Contextual Integrity, developed by H. Nissenbaum, is a framework to better understand these norms and a way to operationalize them. Additionally, I examine how releasing data publicly informs the design and implementation of digital infrastructures to house this data.
I am particularly interested in privacy concerns with respect to new advances in machine learning predictive tools. I received a PhD in Information Studies from UCLA, and prior to that a masters in mathematics, a BFA in painting, and an AS in computer science.