She completed her PhD and post-doc in electrical engineering and computer science at MIT and her AB in Physics at Princeton University. Karen's main research interests are in speech and language processing, with a slant toward combining machine learning with linguistic structure. Her recent work has included multi-view learning of speech and text representations, segmental neural models, and automatic sign language recognition. She is a member of the IEEE Spoken Language Technical Committee, an associate editor for IEEE Transactions on Audio, Speech, and Language Processing, and a technical co-chair of ASRU 2015 and 2017. She has organized/co-organized a number of recent workshops, including the ISCA SIGML workshops on Machine Learning in Speech and Language Processing and the Midwest Speech and Language Days.