I research in modeling the dynamics of language with applications in computational social science and computational humanities. This work often involves the use of methods in unsupervised machine learning, natural language processing, and network science. My PhD thesis is on using computational methods to model and quantify network influence in the process of language change.

I’m currently a postdoctoral researcher in the School of Information at the University of California, Berkeley, advised by David Bamman. I did my PhD in Computer Science from the School of Interactive Computing at Georgia Institute of Technology, where I was advised by Jacob Eisenstein. I have been a research intern at places like Microsoft Research, Max Plank Institute of Software Systems, and Information Sciences Institute.


Jan 2021 Invited to give a talk at the USC ISI Natural Language seminar series.
Oct 2020 Our paper, Abolitionist Networks: Modeling Language Change in Nineteenth-Century Activist Newspapers is accepted to the Journal of Cultural Analytics. Joint work with Lauren Klein and Jacob Eisenstein.
Aug 2020 Our paper, Follow the Leader: Documents on the Leading Edge of Semantic Change Get More Citations [Preprint], is to appear in JASIST. Joint work with Kristina Lerman and Jacob Eisenstein.
May 2020 Presented my thesis proposal. I'm now a PhD candidate!
May 2020 New preprint of our work on counter hate speech in COVID19 discourse on Twitter.

Selected Publications