Tianxiao Shen is an IFDS postdoc scholar at the University of Washington, working with Yejin Choi and Zaid Harchaoui. Previously, she received her PhD from MIT, advised by Regina Barzilay and Tommi Jaakkola. Before that, she did her undergrad at Tsinghua University, where she was a member of the Yao Class.
Tianxiao has broad interests in natural language processing, machine learning, and deep learning. More specifically, she studies language models and develops algorithms to facilitate efficient, accurate, diverse, flexible, and controllable text generation.