I am a Quantitative Social Scientist and Teaching Fellow in the Department of Political Science at the University of North Texas where I apply Bayesian inference and computational statistics to examine how contextual factors shape individuals’ attitudes, decisions, and behavior. I have five years’ experience working both independently and in collaboration with colleagues to model data and provide insights necessary to answer research questions. My core skills include research design, causal inference, quasi-experimental methods, advanced data analytics in R, Stan, and Python, survey research, and an expertise in applied Bayesian statistics. I also currently teach undergraduate courses in applied causal inference for quantitative political research and have previously taught courses in American political institutions and behavior.
My general career interests center around the development and application of Bayesian inference and predictive analytics to answer questions about complex social phenomena and solve business problems. As I approach the end of my PhD, I am in the process of transitioning from academic social science to industry data science and applied analytics and am actively seeking out data scientist, data analyst, and applied statistician roles, particularly those oriented towards consulting.
Experience
Quantitative Social Scientist
University of North Texas
Aug 2018 - Present
Denton, TX
Teaching Fellow
University of North Texas
Oct 2021 - Present
Denton, TX
Research Assistant
Texas Woman’s University
Feb 2018 - Aug 2018
Denton, TX
Education
University of North Texas
PhD in Political Science
Aug 2018 - Present
Denton, TX
Texas Woman’s University
Bachelor of Science in Political Science
Aug 2014 - Aug 2018
Denton, TX