Erin Boon

Erin Boon is an experienced data scientist and researcher with a diverse academic and professional background. She holds a PhD in Celtic Languages & Linguistic Theory from Harvard University and an MS in Statistics & Data Science from California State University - East Bay.13

Erin's career trajectory includes:

• Data Scientist at Bureau of Labor Statistics (January 2023 - Present)
• Lead Data Scientist at The Atlantic (July 2022 - January 2023)
• Senior Data Scientist at The Atlantic (January 2021 - July 2022)
• Data Scientist at The Atlantic (September 2019 - December 2020)1

Prior to her roles at The Atlantic, Erin worked as an independent consultant, a Mellon/ACLS Public Fellow and Research Analyst at The Texas Tribune, and held various research and teaching positions at Harvard University.13

Erin's expertise spans statistics, statistical programming, data analysis, data visualization, machine learning, deep learning, natural language processing, and topic modeling. She has experience working with nonprofit organizations, digital publishers, academic institutions, and government agencies.1

In her role at The Atlantic, Erin has been involved in developing strategies through product science and has contributed to the organization's analytics strategy.4 She has also been vocal about workplace conditions, stating that unionization can improve staff retention and give employees a stronger voice in setting workplace terms.25