About

I work at the intersection of network science, natural language processing, and computational social science under the guidance of Dr. Brooke Foucault Welles at Northeastern University’s Network Science Institute. Network science gives us a framework for understanding who is interacting with whom, while natural language processing yields insight into what characterizes those interactions. Together with tools from machine learning and data science and theory from communications and political science, these fields provide an avenue for studying how networked interactions shape discourse, and how discourse shapes networks.

My research explores where networks and language collide. Currently, I am studying a broad range of questions involving lexical patterns of hashtag activism movements, gender dynamics of network resilience, and emotional trajectories of mental illness. In pursuing these questions, I work to develop network science methodology that reveals local and mesoscale structures, and NLP tools for the robust extraction of topics, sentiment, and multi-word expressions. You can view my current publications here.

Prior to starting at Northeastern, I worked with the Computational Story Lab under the guidance of Professor Chris Danforth and Professor Peter Dodds at the Vermont Complex Systems Center. While at the University of Vermont, I obtained a master’s degree in mathematics with a focus in complex systems. For two consecutive summers, I was a visiting research assistant at the University of Southern California’s Information Sciences Institute, studying topic models with research lead Greg Ver Steeg and the Machine Intelligence and Data Science (MINDS) research group. I also hold a BA in mathematics from the University of Connecticut. You can learn more details from my CV.

Outside of my research life, I enjoy playing guitar. I have played in jazz big bands, combos, a pit orchestra, and a ska-punk band. I almost exclusively play acoustic guitar now, and eventually I will master my looping pedal and become a one-man band.