Simran Khanuja is a PhD student at the Language Technologies Institute in the School of Computer Science at Carnegie Mellon University since August 2022. Her research focuses on expanding the capabilities of multimodal systems to serve a wide range of users across languages and cultures, with applications in localization, information access, conversational AI, education, and assistive technologies. Previously, she was a Pre-Doctoral Researcher at Google Research and worked at Microsoft Research. She has made contributions towards advancing under-represented languages in NLP and her work has been published at top NLP conferences like ACL and EMNLP, including best paper awards at EMNLP 2024, IEEE BigData 2024, and SLT 2022. She is also a recipient of the Waibel Presidential Fellowship for 2024-25.