Participant Info

First Name
Last Name
University of Missouri-St. Louis
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Personal Info

About Me

American politics with concentrations in public opinion, political behavior, political communication and media, and methodology.
Data Scientist: Business/ Professional Project Management skills and analytics in engineering, information technology, finance, call center operations, defect management, quality control, and marketing and consumer research. Proficient in R, Stata, LaTeX, and the Microsoft Office Suite-including Photoshop.
Intermediate level (with ongoing training) in Python, and SAS.
Prevention policy research, and policy and systems evaluation. Currently training in Big Data, data mining, and machine learning.
Methodology: Quantitative Analytics – Frequentist and Bayesian methods, text and sentiment analysis, survey methods, qualitative methods, multidimensional scaling, generalized linear models and extensions, hierarchical modeling, maximum likelihood theory and modeling, latent variable modeling, times series, panel data analysis, and mixed membership models (GoM).

Recent Publications
Media Coverage
Country Focus
United States

Research Areas

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