Hanjie Chen

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Hanjie Chen is an incoming Assistant Professor in the Department of Computer Science at Rice University. She currently works as a Postdoctoral Fellow in the Center for Language and Speech Processing at Johns Hopkins University, under the supervision of Prof. Mark Dredze. She obtained her Ph.D. in Computer Science in May 2023 at the University of Virginia, where her advisor was Prof. Yangfeng Ji.

Hanjie is broadly interested in Trustworthy AI, Natural Language Processing, and Interpretable Machine Learning. Specifically, her research focuses on the interpretability, robustness, and fairness of neural language models. Through innovative solutions, she seeks to bridge the trustworthy gap between models and humans, enabling understanding and interaction between them. In the long term, she is dedicated to developing explainable AI techniques that are easily accessible to system developers and end users for building trustworthy and reliable intelligent systems.

Research Areas

Natural Language Processing, Interpretable Machine Learning, Trustworthy AI


Ph.D., Computer Science, University of Virginia (2023)

Master's Degree, University of Science and Technology of China (2018)

Bachelor's Degree, Nanjing University of Aeronautics and Astronautics (2015)

Honors & Awards

Outstanding Doctoral Student Award, UVA, 2023

John A. Stankovic Graduate Research Award, UVA, 2023

Carlos and Esther Farrar Fellowship, UVA, 2022 - 2023

University-wide Graduate Teaching Awards Nominee, UVA, 2022

Outstanding Graduate Teaching Award, UVA CS, 2022

Best Poster Award, ACM Capital Region Celebration of Women in Computing, 2021

National Center for Women & Information Technology Collegiate Award Finalist, 2021


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