I am currently a PhD student in the Societal Computing program at Carnegie Mellon University’s School of Computer Science. I am co-advised by Dr. Jürgen Pfeffer, who is now based at the Technical University of Munich, and by Dr. Anind K. Dey of CMU’s Human-Computer Interaction Institute.
My work brings statistical modeling to bear on critical, reflexive questions with and about social networks in large-scale digital trace data. I am broadly concerned with issues of algorithmic power and control, and of validity and rigor in computational social science; understanding the possible ways in which social media and other large-scale trace data may give a distorted picture of human behavior will allow us to make generalizations that are robust across time, platforms, and contexts, and that can ultimately inform just and effective policy-making.
My work thus far has focused largely on social media data. Currently, within Dr. Dey’s Ubicomp Lab, I am investigating the quality of sensors for collecting social network data and the nature of these data.
I also have ongoing work about understanding and communicating foundational problems in statistical models of social networks.