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About me

I am a Ph.D. candidate in the Department of Sociology at Cornell University and a member of Michael Macy’s Social Dynamics Laboratory. Next to my studies in sociology, I pursue a minor in the Department of Computer Science with a focus on machine learning and natural language processing and I work for the OECD International Programme for Action on Climate (IPAC) as a data science consultant.

My Ph.D. committee consists of Michael Macy (Cornell Sociology and Information Science), Filiz Garip (Princeton Sociology), Felix Elwert (UW-Madison Sociology and Statistics), Eleonora Patacchini (Cornell Economics), and Lillian Lee (Cornell Computer Science). I am a research assistant of Kelly Musick (Cornell Public Policy).

In my research, I leverage and develop quantitative methods to analyze family and network dynamics as drivers of social inequality. Methodologically, I specialize in the modeling of complex dependencies in observational data (especially multilevel, spatial, and network embeddedness). My CV can be downloaded here.

My research is funded by the National Science Foundation.

Research focus

Computational social science ++ social networks ++ social inequality ++ family demography


Ph.D. in Sociology and Computer Science 2024
Cornell University (United States)

M.Sc. in Methods and Statistics 2017
Utrecht University (Netherlands)

M.Sc. in Sociology 2017 (with distinction)
Utrecht University (Netherlands)

B.A. Sociology and Economics 2014
Mannheim University (Germany)


Social network analysis ++ Machine learning ++ Natural language processing ++ generalized linear and additive modeling ++ multilevel analysis ++ longitudinal & panel analysis ++ survival analysis ++ structural equation modeling ++ modern causal inference ++ Bayesian statistics ++ statistical computing ++ parallel computing ++ imputation techniques ++ measurement modeling ++ survey & sampling design.

Programming: Highly proficient in R (>10 years) (especially tidyverse, ggplot), Python (>2years) (especially NumPy, SciPy, Pandas, Scikit-Learn), Stata (>10years), Bugs/Jags/Stan (>5years)

Experience with PHP, SQL, (X)HTML, CSS, and JavaScript.


  • My paper “Socioeconomic segregation in friendship networks: Prevalence and determinants of same- and cross-SES friendships in US high schools.” won the 2023 Robin M. Williams Jr. Best Paper Award (Department of Sociology, Cornell University).
  • Presented my project “Socioeconomic segregation in friendship networks: Prevalence and determinants of same- and cross-SES friendships in US high schools.” at the 2022 meeting of the RC28 Research Committee on Social Stratification in London (April 2022), at the Measuring Belief Systems workshop at Princeton University (October 2022), at the MZES Colloquium at Mannheim University (October 2022), and at the Inequality Discussion Workshop at Cornell University (November 2022). I will present an updated version of this paper at PAA 2023 in New Orleans, Louisiana (April 2023), at Sunbelt 2023 in Portland, Oregon (June 2023), at ISA in Melbourne, Australia (June 2023), at NetSci 2023 in Vienna, Austria (July 2023), at RC28 in Ann Arbor, Michigan (August 2023), and at ASA in Philadelphia, Pennsylvania (August 2023).
  • Was a visiting researcher at the Berlin Social Science Center (WZB) (June+July 2022)
  • Presented my project “Treatment effects on within-group and between-group inequality. A causal decomposition approach” at the 2022 meeting of the Population of America Association in Atlanta, USA (April 2022), and at the 2022 meeting of the International Network of Analytical Sociology (INAS) in Florence, Italy (May 2022)
  • Gave an introductory workshop on multilevel modeling for the Cornell Population Center (March 2022).


Cornell University
109 Tower Road
368 Uris Hall
Ithaca NY, 14853

Email fbr33 at cornell dot edu

You can schedule an appointment with me here.

Google Scholar Ben Rosche ORCID 0000-0001-5196-625X ResearchGate Ben Rosche GitHub benrosche Twitter Ben_Rosche