Julia Silge
Featured in this episode
I love connecting people across the data science community to share what they're accomplishing with data and help others do the same through community discussions, industry meetups, and more.
Julia Silge is a data scientist and software engineer at RStudio PBC where she works on open source tools for machine learning and MLOps. She holds a PhD in astrophysics and has worked as a data scientist in tech and the nonprofit sector, as well as a technical advisory committee member for the US Bureau of Labor Statistics. She is a coauthor of Tidy Text Mining with R, Supervised Machine Learning for Text Analysis in R, and Tidy Modeling with R. An international keynote speaker and a real-world practitioner focusing on data analysis and machine learning, Julia loves text analysis, making beautiful charts, and communicating about technical topics with diverse audiences.
