José Aveldanes

Job title: 
Data Science Fellow

I am currently a fourth-year Ph.D. student student in the Sociology department at the University of California, Berkeley. I'm broadly interested in contemporary American families and under that umbrella my research spans three substantive areas: same-sex couples and their population-level outcomes (e.g., marriage, health, education), the intergenerational transmission of advantage and disadvantage, and how the social and biological interact to produce outcomes in the life course. To this end—I utilize nationally-representative longitudinal data, methods of causal inference, and computational social science. I have worked with the American Time Use Surveys, the Panel Study of Income Dynamics, and the American Census to investigate these interests.

Research interests: 

Sociology, Demography, Economic Sociology, Culture, Data Science; Python, R, STATA, SQL, Data Sources, Data Visualization, Deep Learning, Machine Learning, Natural Language Processing, Text Analysis, Causal inference, Hierarchical Models, Nonparametric methods, Regression Analysis, Software Output Interpretation, Survey Sampling, Survival analysis, ATLAS.ti, Dedoose, Git or Github, NVivo, RStudio, RStudio Cloud