Elisa Celis is an assistant professor in the Statistics & Data Science department at Yale University. She studies the manifestation of social and economic biases in our online lives via the algorithms that encode and perpetuate them. Her research leverages both experimental and theoretical approaches, and her work spans multiple disciplines including data science, machine learning, fairness in socio-technical systems and algorithm design.

At Yale she co-founded the Computation and Society Initiative. She is a member of the Scholar’s Council of UCLA’s Center for Critical Internet Inquiry, an affiliated faculty of Yale’s Institution for Social and Policy Studies and Cowles Foundation for Research in Economics, and an Advisory Board Member of the A+ Alliance. She is an active member and organizer for LatinX in AI and Women in Data Science.

What do you do with data science?

I study the manifestation of social and economic biases in our online lives via the algorithms that encode and perpetuate them. My research leverages both experimental and theoretical approaches, and my work spans multiple disciplines including data science, machine learning, fairness in socio-technical systems and algorithm design.