Emma supports the technology team with new projects and maintaining data pipelines, focused on looking ahead to ways in which the organization can expand its scope through a technological reach. She works with machine learning models to understand trafficking networks through data and aims to automate processing of subjective data from IMBs to aid in the analysis process. Emma has an Associates Degree in Mathematics and is currently working on a Bachelors of Science in Computer Science with a specialization in Data Science from the University of London. She loves writing, creating new recipes, playing music, and collecting pretty clothes
