Hi! 👋 I am a Computational Social Scientist specializing in political science, statistical analysis, social network analysis, and data visualization. I am currently pursuing my PhD at the University of Maryland - College Park, where I am part of the Interdisciplinary Laboratory of Computational Social Science (iLCSS). Previously, I completed my Master’s degree in Social Data Science at the University of Essex in the UK, supported by a Chevening Scholarship.

Throughout my career, I have held various exciting roles, including research assistant at Columbia University, coordinator of the Network Observatory Research Group at the University of Buenos Aires, data analyst consultant at UNESCO, and advisor for the National Direction of Access to Public Information in Argentina. I am also proudly affiliated with Red de Politólogas.

As a passionate educator, I have taught and coordinated several courses, such as Introduction to R for Social Scientists, Machine Learning with R, and Introduction to Python. I have also given a talk for R-Ladies, which you can find in the workshops section of my website.

I am dedicated to conducting reproducible and transparent data analysis in R. For more information, please visit my blog.