Quantitative research
End-to-end design of quantitative research — from sampling strategy and survey instrument to statistical analysis, visualization, and narrative.
I’m Bálint Néray — a quantitative researcher with a Ph.D. in Sociology and nine years of end-to-end research at Meta and Northwestern University. I translate large-scale human behavior data into clear, actionable insight for product, public-health, and scientific audiences.
My career has lived at the intersection of human behavior, complex data, and strategic narrative. At Meta’s Internet Community Growth Research team I led quantitative studies that shaped how hundreds of millions of people experienced Facebook, Messenger, and Instagram. Before that, I spent four years at Northwestern University applying advanced network models to public health, HIV prevention, and infectious-disease inequalities.
I’m most useful on problems where the data is large, the signal is subtle, and the stakeholders are varied. I care about research that survives first contact with a real decision — that means careful design, honest uncertainty, and the patience to write things down well.
Meta · Internet Community Growth Research (ICGR)
Northwestern University · Science of Networks in Communities (SONIC) Lab
Northwestern University · Institute for Sexual and Gender Minority Health and Wellbeing (ISGMH)
Università della Svizzera italiana · Social Network Analysis Research Center (SoNAR-C)
Duke University · Duke Network Analysis Center (DNAC)
End-to-end design of quantitative research — from sampling strategy and survey instrument to statistical analysis, visualization, and narrative.
Multivariable regression, predictive modeling, ERGMs, SAOMs, ALAAM. I pick the method that fits the question, not the other way around.
Translating dense quantitative findings into clear, non-technical narratives that move decisions — in R-Shiny, Power BI, or a well-chosen chart.
Scoping ambiguous questions, managing cross-functional roadmaps, and building the workflow guides and codebooks that let good research compound.
The role of peers’ perceptions in ethnic self-identification
European Sociological Review, 41(4), 575–590.
Our Friends Keep Us Together: The Stability of Adolescents’ Cross-Race Friendships
Social Forces, 102(1), 202–222.
A network centrality bias: central individuals in workplace networks have more supportive coworkers
Social Networks, 73, 30–4.
The dynamics of interethnic friendships and negative ties in secondary school
Social Psychology Quarterly, 83(4), 342–362.
Role of social and sexual network factors in PrEP utilization among YMSM in Chicago
Prevention Science, 20(7), 1089–1097.
Intersectional identities and HIV: race and ethnicity drive patterns of sexual mixing
AIDS and Behavior, 23(6), 1452–1459.
“Everybody puts their whole life on Facebook”: identity management & online networks of LGBTQ youth
International Journal of Environmental Research and Public Health, 15(6), 1078.
Inter-ethnic friendships and negative ties in secondary school
Social Networks, 43, 57–72.
See the complete publication list — including book chapters and additional peer-reviewed work — on Google Scholar
I’m currently exploring roles in UX research, data science, and applied public-health research. The best way to reach me is by email.