Katharina Kann is an Assistant Professor of Computer Science at University of Colorado Boulder. Her research focus on developing models for languages besides English, including low-resource languages. She won SIGMORPHON 2016 shared task on morphological reinflection and task 2 of CoNLL-SIGMORPHON 2017 shared task on universal morphological reinflection. Since 2016, she has published more than 30 papers in top NLP conferences and journals. Katharina also served as organizer of Workshop on Representation Learning for NLP (RepL4NLP).
Before joining University of Colorado, she did postdoctoral research at New York University(2018-2019), working with Kyunghyun Cho and Sam Bowman. She obtained her Ph.D. degree from University of Munich, working with Hinrich Schütze, and M.Sc. degree from Technical University of Munich.