Ms. Kaiser Sun | Natural Language Processing | Young Scientist Award

Published on by AI Data Scientist

Ms. Kaiser Sun | Natural Language Processing | Young Scientist Award

Emerging Leader in AI, Johns Hopkins University, United States

Ms. Kaiser Sun is an emerging leader in artificial intelligence and computational linguistics whose work bridges fundamental research and practical impact. She is currently pursuing a Ph.D. in Computer Science at Johns Hopkins University under Professor Mark Dredze, building on her M.S. in Computer Science and Engineering from the University of Washington and dual B.S./B.A. degrees in Computer Science & Engineering and Mathematics from the same institution. Ms. Kaiser Sun has accumulated a rich portfolio of professional experience, including roles as Applied Scientist Intern at Amazon Web Services AI Labs, AI Resident at Meta AI – FAIR Labs, Software Development Engineer Intern at Amazon, Data Science Intern at Noonum, undergraduate researcher at the Washington Experimental Mathematics Lab, and intern at NOAA. Across these positions she has collaborated with leading mentors such as Peng Qi, Yuhao Zhang, Adina Williams, and Dieuwke Hupkes. Her primary research interests focus on natural language processing, large language models, interpretability, multilingual assessment of stereotypes, and the intersection of optimization and model evaluation. Ms. Kaiser Sun’s research skills span deep learning architectures, empirical foundations of machine learning, convex optimization, multilingual NLP, and large-scale model analysis; she is proficient in Python, Java, TypeScript, SQL, JavaScript, C++, R, and MATLAB, and experienced with PyTorch, AllenNLP, Spark, AWS, Microsoft Azure, and React. Her work has appeared in respected venues such as Nature Machine Intelligence, Findings of ACL, Findings of EMNLP, and NAACL, and she has contributed to influential community efforts like Queer in AI and Google Research’s CSRMP mentorship program. On Scopus, Ms. Kaiser Sun holds ID 57224529767 with 70 total citations indexed across 68 documents, 5 primary authored documents, and an h-index of 2 — impressive indicators for a researcher at her career stage.

Profile: GOOGLE SCHOLAR | SCOPUS | ORCID

Featured Publications

  • Sun, K., Marasović, A. (2021). Effective attention sheds light on interpretability. Findings of ACL. 23 citations.

  • Sun, K., Qi, P., Zhang, Y., Liu, L., Wang, W. Y., Huang, Z. (2023). Tokenization consistency matters for generative models on extractive NLP tasks. Findings of EMNLP. 17 citations.

  • Mitchell, M., Attanasio, G., Baldini, I., Clinciu, M., Clive, J., Delobelle, P., … Sun, K. (2025). SHADES: Towards a multilingual assessment of stereotypes in large language models. Proceedings of NAACL. 12 citations.

  • Sun, K., Dredze, M. (2024). Amuro & Char: Analyzing the relationship between pre-training and fine-tuning of large language models. Proceedings of the 10th Workshop on Representation Learning for NLP. 10 citations