Thomas Elliott

I am an academic turned data scientist, currently a product analyst at GitHub.

I have previously taught at California State University, Channel Islands, and worked a post-doc at the University of Arizona. In academia, my research interests included sexualities, social movements, media (both old and new), and technology. I'm also interested in various methodologies, including advanced regression methods, social network analysis, and fuzzy set qualitative comparative analysis.

I am also an amateur computer programmer, writing applications to facilitate the coding and management of data I use for the various projects I am working on. I've also written a Python script that uses machine learning algorithms to predict the outcomes of RuPaul's Drag Race.

I graduated in Spring 2015 from the University of California, Irvine with a Ph.D. in sociology. My dissertation, chaired by Edwin Amenta, explores newspaper coverage of the gay and lesbian movement over the last sixty years. It focuses on explaining why the movement, and individual organizations, are covered and how news discourses on homosexuality have changed over time.