I am a sociologist and research scientist working on machine learning fairness and ethical AI at Google. Before that, I was an Assistant Professor at the Institute of Communication, Culture, Information and Technology at the University of Toronto.
I received my PhD in sociology from the University of Wisconsin-Madison. My dissertation was the Machine-learning Protest Event Data System (MPEDS), a system which uses machine learning and natural language processing to create protest event data.
My current research agenda is two-fold. One line of research centers on origins of the training data which form the informational infrastructure of machine learning, artificial intelligence, and algorithmic fairness frameworks. Another line of research (with Ellen Berrey) seeks to understand the interplay between student protest and university responses in US and Canada. My past work has focused on how new and social media has changed social movement mobilization and political participation.
I am as much as an educator as I am a researcher. I have taught workshops and courses on computational methods for social scientists, social movements, and the implications of information as infrastructure. I co-founded the [now defunct] computational social science blog Bad Hessian.
As a second job, I play women's flat track roller derby with Bay Area Derby.