(title to be announced)
Maria De-Arteaga is an Assistant Professor at the Information, Risk and Operation Management (IROM) Department at the University of Texas at Austin, where she is also a core faculty member in the Machine Learning Laboratory. She received a joint PhD in Machine Learning and Public Policy from Carnegie Mellon University. Her research on algorithmic fairness and human-centered machine learning studies the risks and opportunities of using machine learning to support experts’ decisions. De-Arteaga is a co-founder of the Machine Learning for the Developing World (ML4D) Workshop. Her work has been featured by UN Women and Global Pulse, and has received best paper awards at NAACL’19 and Data for Policy’16, and research awards from Google and Microsoft Research.