Elena Eneva is a Research Director at Stanford's Regulation, Evaluation, and Governance Lab (RegLab). Working at the intersection of machine learning, data science, and AI, she has tackled challenges including improving healthcare systems, protecting refugees, and making AI more understandable and equitable for all.
In a prior role focused on machine learning and AI at Accenture, she led the development and deployment of intelligent systems, first in client-facing roles and later as the lead of the US AI Research and Development team at Accenture Technology Labs. Elena also co-founded the Data Science for Social Good (DSSG) program at the University of Chicago, a project-based fellowship for aspiring data scientists from around the world to work on high-impact projects for nonprofits and government agencies globally.