Assistant Professor, Massachusetts Institute of Technology
Stefanie Jegelka is an X-Consortium Career Development Assistant Professor in the Department of EECS at MIT, and a member of CSAIL and IDSS. She obtained her PhD from ETH Zurich and the Max Planck Institute for Intelligent Systems, and was a postdoctoral researcher at UC Berkeley. Her research interests lie in algorithmic machine learning, in particular learning and optimization problems with discrete structure. She has held multiple workshops and tutorials on discrete optimization and submodularity in machine learning, and has received an NSF CAREER award, a Google research award, the German Pattern Recognition Award (Mustererkennngspreis) and an ICML Best Paper Award.
Bridging Continuous and Discrete Optimization , Fall 2017Visiting Scientist
Foundations of Machine Learning , Spring 2017Visiting Scientist