Mahsa Yarmohammadi is an assistant research scientist in the Center for Language and Speech Processing (CLSP), Johns Hopkins University, who leads state-of-the-art research in cross-lingual language and speech applications and algorithms. A primary focus of Yarmohammadi’s research is using deep learning techniques to transfer existing resources into other languages and to learn representations of language from multilingual data. She also works in automatic speech recognition (ASR) and speech translation. Yarmohammadi develops novel finite-state algorithms for the decoder component of ASR. Yarmohammadi received her PhD in computer science and engineering from Oregon Health & Science University (2016), and her master’s in computer engineering (2007) at Shahid Beheshti University in Iran. She earned her undergraduate degree in computer engineering (2004) at Amirkabir University of Technology (Tehran Polytechnic).