I am a Ph.D. candidate in Political Science (minor: Computational Social Science) at Northeastern University. My research examines the segregation of political life — how citizens allocate attention across partisan lines, how publics turn against other nations, and how elites and experts divide — treating segregation as a systemic outcome of mechanisms that link individual behavior, social structure, and elite supply, in domains spanning American politics and international relations. I work with natural language processing, network analysis, and statistics, and study whether the instruments themselves — including large language models — measure what we think they do.
In the classroom, I teach both methods and substance, at both levels. The methods side runs from introductory statistics through machine learning and data science — in Python and R — to a graduate AI bootcamp and a hands-on book in progress; the substantive side spans comparative politics, the Middle East, and globalization. At Northeastern that has meant eight course sections, graduate and undergraduate, as a teaching assistant; in Istanbul, two undergraduate courses of my own. The full arc is under Teaching.
Alongside the research, I build the communities computational social science needs — a summer training institute in Istanbul and the BLISS workshop series in Boston. Separately, I have consulted on civic data for the City of Boston and local institutions through BARI.
research · teaching · data · service & public scholarship · now · about
Research
- Supply & cues (macro) — elite conflict, agendas, and menus: attention setting · Congress & technology · anti-Westernism
- Sorting & structures (meso) — how choices aggregate into networks and culture: cultural spillover · epistemic elites
- Selection & attention (micro) — what people do once content arrives: selective attention · anti-Americanism
- Conceptualization — what does an expert community mean by its own concept? Polycrisis
- Networks & Statistics — impulse-response estimation for relational event models
- AI Interpretability & Evaluation — do LLM annotations carry the construct, and how do models organize ideology inside?
Currently
- Jul 2026Guest lecture at SICSS-Istanbul: "Anthropology of Machines: From Black Box to White Box" · write-up · slides
- 2026Working papers on the road at ISA, MPSA, PolMeth, APSA, IC2S2, NetSci, and PaCSS — follow along
The longer story — where this work comes from — is on the About page. The full record is in my CV (PDF).