Joseph Broad brings his passion for quantitative methods, causal inference, and experimental survey design to the Keen Independent team. Joe is trained in both frequentist and Bayesian statistical inference and has applied advanced quantitative machine learning methods in his research. As a Ph.D. candidate in political science, he has years of research experience and is fluent in quantitative research methods and multiple programming languages. He has also worked in the U.S. Senate and is a passionate musician.
Project Experience:
- Quantitative research methods
- R, Stata, Python and other programming languages
- Experimental survey design
- Disparity studies
- Data collection, visualization and analysis
- Constituent outreach
- Technology advancing initiatives
Education
Ph.D. (candidate), Political Science, University of California, Davis, CA
B.A., Political Science and Philosophy, University of Nevada, Reno, NV
