Maria De-Arteaga is an Assistant Professor at the Information, Risk and Operations Management Department at the University of Texas at Austin, where she is also a core faculty member of the interdepartmental Machine Learning Laboratory. She received a joint PhD in Machine Learning and Public Policy from Carnegie Mellon University. Her research focuses on the risks and opportunities of using machine learning for decision support in high-stakes settings. Her work has been awarded the Best Thematic Paper Award at NAACL’19, the Innovation Award on Data Science at Data for Policy’16, and has been featured by UN Women and Global Pulse in their report Gender Equality and Big Data: Making Gender Data Visible. She is a recipient of a 2020 Google Award for Inclusion Research, a 2018 Microsoft Research Dissertation Grant, and was named an EECS 2019 Rising Star.