Most days, you can find me in the basement of Blow Hall tutoring Data Science students. The majority of these students come from a social science or "non-technical" background and tend to struggle with the minutiae details of computer programming required to perform data analysis. As a Data Science consultant, my job is to help my peers overcome any mental blocks they may have with programming and build self-confidence in their critical thinking ability that will help them uncover their inner Data Scientists.
I conduct research as a Systematic Textual Analysis for International Relations (STAIR) Lab member, a research assistant for Professor Waggoner, and as a W&M Honors Fellow. My projects seek to better understand human communication through a quantitative lens. Some of my research topics include media bias, big data, and social issues. I hope this work can help to eliminate academic boundaries and further illuminate how communication affects social perception.