Summary
David Broska is a sociologist and empirical methods specialist with nine years of research and data experience, currently a PhD candidate and Teaching Assistant at Stanford University. He blends rigorous social science training from LSE and Zeppelin University with practical programming and data-engineering skills developed through roles at the European Commission and data analytics positions. At Stanford he supports courses on regression for discrete outcomes and economic sociology, translating advanced methods into classroom-ready instruction and reproducible analyses. His background includes hands-on work with R, MySQL, SAP, and alternative data source evaluation, reflecting a comfort bridging qualitative insight and quantitative pipelines. Based in Palo Alto, he brings an uncommon mix of classroom pedagogy, large-institution data work, and methodological research—well-suited to projects that require both statistical rigor and pragmatic data engineering.
9 years of coding experience
1 year of employment as a software developer
London School of Economics and Political Science
BA, Sociology, Politics & Economics, BA, Sociology, Politics & Economics at Zeppelin University, Friedrichshafen
Doctor of Philosophy - PhD, Sociology, Doctor of Philosophy - PhD, Sociology at Stanford University
French, English, German