Yilan Liu Ph.D., CCC-SLP

Yilan Liu has clinical experience working with children and adolescents with a wide range of communication disorders. Her research interests include artificial intelligence applications in communication disorders, speech production in children with cleft palate, and Mandarin–English bilingual language assessment.

She has collaborated with interdisciplinary teams in linguistics, computer science, and human–computer interaction to design and evaluate telehealth platforms and AI-assisted tools for language assessment. Her work has been presented at national and international conferences and published in peer-reviewed journals.

• Ph.D., rehabilitation sciences, Texas Tech University Health Sciences Center
• M.A., Chinese ethnic minority education, 2010–2013
• B.A., English, 2004–2008
• B.E., computer science and technology, 2004–2008

• Speech-language pathologist, The Stepping Stone Group LLC, Sherman ISD, Texas, 2024–2025
• Speech-language pathologist, clinical fellow, Irving Independent School District, Irving, Texas, 2023–2024
• Teaching and research assistant, Department of Speech, Language, and Hearing Sciences, Texas Tech University Health Sciences Center, Lubbock, Texas, 2018–2022

• Du, Y., Tang, Y., Fong, K. K., Liu, Y., Wang, D., Tu-Shea, X., Liu, Y., Zheng, Q., et al. (2026). A citizen science approach toward parent-administered remote language assessment for bilingual Mandarin–English children: An evaluation of in-person and telehealth settings. Frontiers in Education 10: 1696031.
• Liu, Y. (2025). Retrieval-augmented generation of pediatric speech-language pathology vignettes: A proof-of-concept study. arXiv preprint arXiv:2511.08600.
• Liu, Y., Lee, S., and Chen, W. (2022). The correlation between perceptual ratings and nasalance scores in resonance disorders: A systematic review. Journal of Speech, Language, and Hearing Research 65 (6): 2215–2234.
• Liu, Y., and Lee, S. A. S. (2022). A study adopting a motor-based, hierarchically structured intervention for remediating nasal fricatives in children with normal velopharyngeal function requires a better experimental design. Evidence-Based Communication Assessment and Intervention, 1–6.
• Liu, Y. (2022). Phonetic and phonological characteristics of Mandarin-speaking children with repaired cleft palate. [Doctoral dissertation, Texas Tech University Health Sciences Center].
• Liu, Y., and Lee, S. A. S. (2021). English nasalance values of Chinese learners of English. Folia Phoniatrica et Logopaedica 73 (5): 422–431.
• Bae, Y., Lee, S. A. S., Velik, K., Liu, Y., Beck, C., and Fox, R. A. (2020). Differences in nasalance and nasality perception between Texas South and Midland dialects. The Journal of the Acoustical Society of America 147 (1): 568–578.
• Smith, P., Varner, J., Nigam, A., Liu, Y., Lesley, M., Smit, J., Burke, D., and Beach, W. (2020). Teaching writing in the midst of fragile alliances: Insights from literacy teacher educators. Action in Teacher Education 42 (4): 328–353.

• Maina, F., Zaeir, A., Liu, Y., Wu, N., and Shi, Y. Video annotation tools as an improvement of reflective abilities for preservice teachers’ field experience. Society for Information Technology and Teacher Education International Conference, 2018.

• Inclusive Community and Justice Fund (ICJF), University of Redlands. Voice, Visibility, and Community: Gender-Affirming Workshop Series, January 2026
• Visionary Session Award, American Speech-Language-Hearing Association Annual Convention, Seattle, November 2024. Liu, Y., and Corwin, M. Applications of Generative Artificial Intelligence for Children With Communication Disorders: A Scoping Review