Kedi Mo

Kedi Mo is a first-year Ed.D. student in Applied Linguistics at Teachers College, Columbia University, specializing in Language & Technology. He earned his M.A. in TESOL from the AL/TESOL program in 2023 and spent a gap year gaining hands-on experience in language teaching and research before beginning his doctoral studies. Kedi currently serves as a doctoral fellow in the Community Language Program (CLP) and is a planning committee member for the AIRiAL Conference (2024, 2025).

Kedi is a language teacher-researcher with a keen interest in the integration of emerging technologies in language education. He joined the L&T Research Group in January 2023 to explore how cutting-edge tools can enhance language testing, teaching, and learning. During his gap year, he developed and evaluated technology-integrated lessons in local language programs in New York, experiences that shaped his current research focus on Automatic Speech Recognition (ASR) for language assessment, with expanded research goals involving affective computing at the intersection of ASR and language education.