My research explores the application of generative AI and large language models (LLMs) in applied linguistics, with particular attention to AI-generated language, academic discourse, and the use of AI in language learning and research.
I am interested in combining corpus linguistic methods with AI-focused research to examine how human and AI-generated language differ, how generative AI systems construct language and identity, and how emerging AI technologies can be used critically and responsibly in applied linguistics.
A Corpus Linguistic Comparison of Human-Written and ChatGPT-Generated Nursing Abstracts
This project uses corpus linguistic methods to compare linguistic patterns in human-written and ChatGPT-generated nursing research abstracts, contributing to emerging research on AI-generated academic discourse.
Presented at: American Association for Applied Linguistics (AAAL), 2026
How Do GenAI Chatbots Use Language to Construct Human-Like Personas?
This collaborative research examines how generative AI chatbots use linguistic resources to construct human-like personas, bringing together perspectives from applied linguistics, discourse analysis, and generative AI research.
Presented at: Technology for Second Language Learning (TSLL) Conference, 2025
Project-Based Language Learning in the Middle East and North Africa: An AI-Assisted Systematic Review
This collaborative project explores the use of AI-assisted approaches in conducting a systematic review of project-based language learning research in the Middle East and North Africa.
Corpus-based analysis of AI-generated language
Human–AI language comparison
Large language models and academic discourse
AI-supported academic writing
AI-assisted linguistic research
Responsible and ethical uses of generative AI in research and education