Stefanie Jegelka is an X-Consortium Career Development Associate Professor in the Department of Electrical Engineering and Computer Science at MIT, where she is a member of CSAIL, and affiliated with IDSS. Before joining MIT, she was a postdoctoral researcher at UC Berkeley. She obtained a Ph.D. from ETH Zurich in collaboration with the Max Planck Institutes in Tuebingen, Germany. She has received an NSF CAREER Award, a Google research award, the German Pattern Recognition Award and a Best Paper Award at the International Conference for Machine Learning (ICML). Her research spans theory and practice of algorithmic machine learning, including learning problems with combinatorial structure, optimization, sampling and kernel methods.