Elena Eneva is a senior principal AI researcher at Accenture Technology Labs, where she leads the development of cutting-edge AI solutions applied across multiple high-impact domains, including anti human trafficking, intelligent compliance, and explainable and equitable AI. She has over 15 years of experience in big data, machine learning, data science, and AI across business, technical, and R&D groups. Prior to Accenture, Elena worked at Yahoo! on machine learning for fraud detection.

Elena is particularly passionate about applying data science to social-good domains. In the summer of 2013, Elena helped start the Data Science for Social Good (DSSG) Summer Fellowship at the University of Chicago. As a technical mentor, she led several teams of fellows and developed open-source solutions for healthcare and disaster relief. In 2018, Elena returned to the University of Chicago to lead the entire DSSG program there as DSSG's director. She continues to be involved with the fellowship program and is working toward creating a DSSG program in the Bay Area, where she is based.

Elena got her master's degree in Machine Learning from Carnegie Mellon University and her undergraduate degree in Computer Science from the University of the South: Sewanee. Besides sciencing with data, she is passionate about social good in general and works with community organizations involved in education, the arts, and the environment.