Stefanie Jegelka is an X-Consortium Career Development Assistant Professor in the Department of EECS at MIT. She is a member of the Computer Science and AI Lab (CSAIL), the Center for Statistics and an affiliate of IDSS and ORC. Before joining MIT, she was a postdoctoral researcher at UC Berkeley and obtained her PhD from ETH Zurich and the Max Planck Institute for Intelligent Systems. Her research interests span the theory and practice of algorithmic machine learning and optimization. Stefanie has received an NSF CAREER Award, a Sloan Research Fellowship, the German Pattern Recognition Award, and a Best Paper Award at the International Conference for Machine Learning (ICML). She has organized several workshops around optimization and combinatorial machine learning, given invited tutorials, and has been on the senior program committee for NIPS, ICML, AISTATS, and UAI.