Skip to content

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 explore social phenomena through conceptually precise and methodologically rigorous empirical research.

My substantive research aims to advance our understanding of family and network dynamics as drivers of social inequality. My methodological research aims to enhance existing methods to understand complex dependencies among observations, such as multilevel, spatial, and network embeddedness.

My research is funded by the National Science Foundation.


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)

Research focus

Quantitative methods for the social sciences (esp. causal inference with multilevel, spatial, network, and textual data) ++ social networks ++ social inequality/stratification ++ family demography


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.



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