I am a computational social scientist working on machine learning curriculum 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 research agenda focuses on how new and social media has changed social movement mobilization and political participation. I rely on large-scale data collections and computational tools in my research, with an emphasis on automated textual analysis and machine learning.
I am involved in several efforts to integrate computational methods into social science practice and education. I have taught workshops on computer programming and data analysis for social scientists, and also co-founded the computational social science blog Bad Hessian.
I am also an activist, working on issues of queer and transgender inclusion in sports and higher education, and access to transgender health care.