Henry Anderson is a Data Scientist in the University of Texas at Arlington's University Analytics group and a part-time researcher for the Learning Innovation and Network Knowledge (LINK) research laboratory. He holds undergraduate physics and linguistics degrees from Rice University. As a data scientist, he works to incorporate new data sources and practices into the university's workflow, build large predictive and exploratory models around student behavior and university outcomes, and evangelize the mindset and tools found in big data and machine learning. As a researcher, his primary interests are in how language is used online to enforce and create community norms, construct and represent identity, and reveal behavioral patterns and information about the speaker, and how language can be used in concert with other quantitative data sources to provide deeper and more meaningful insights than either source on their own. Through this lens, he has approached questions about the regulation of discourse in professional societies, the development of students' world views and integrated thought processes as evidenced through their writing, and the nature and significance of systematic, dialect-like differences in language use across online communities.
