Summary
Laura Nelson is an associate professor and computational social scientist with 12 years of experience turning large, messy social datasets into actionable insights using machine learning, NLP, and network analysis. She designs and leads end-to-end research projects that bridge academia and industry, publishing on topics from gender equality to entrepreneurship and collective action. Comfortable coding in Python and R (pandas, scikit-learn, NLTK, igraph) she translates complex methods for non-technical audiences and has delivered invited talks across North America and Europe. Her work uniquely combines rigorous causal and computational approaches to reveal patterns in social behavior that directly inform policy and management.
11 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Doctor of Philosophy (Ph.D.) at University of California, Berkeley
Bachelor of Arts (B.A.), Bachelor of Arts (B.A.) at University of Wisconsin-Madison