I am a postdoctoral research fellow at Duke University working on the HASTAC NSF EAGER grant. At HASTAC I am the in-house data scientist responsible for carrying out social network and data analysis of HASTAC data. I joined the team at the end of 2013 and I am currently based in London, UK.
Before joining HASTAC I was a postdoctoral research fellow at the University of São Paulo where I taught the course Digital Forms of Public Opinion. I am also a PhD researcher and lecturer at the University of Frankfurt and was a visiting research fellow at the Department of Media and Communications of the London School of Economics and Political Science.
My research is motivated by the conflicting ecosystems of network and broadcast media, particularly the crossover between social media and mainstream media. I have investigated the differences between readership in social and legacy media; the impact of social networks to the distribution of news; the overlap between onsite and online contentious politics; the dynamics of meaning making in social networks; and the impact of networked communication on scholarly work.
I am trained in qualitative and quantitative methods and I am interested in social networks, theory of communication, social systems theory and media anthropology. I work with large-scale network data from Twitter, Facebook, and news outlets and I have developed scripts and packages to pull data from social media and legacy media APIs.
I use R and related packages for statistical computing and visualization, Python for small shell-scripting, and UCINET or Gephi for visualizing and analyzing network graphs. Portuguese is my mother tongue and I am fluent in English, Spanish and German. I can read French and Italian and I am getting to grips with Russian.