Matt Post

Professor specializing in natural language processing, Matt Post serves as an Assistant Research Professor at the Human Language Technology Center of Excellence (HLTCOE) and the Computer Science Department at Johns Hopkins University. His research is primarily centered on machine translation, a field that seeks to bridge language barriers through automated systems. In addition to machine translation, his work extends to text rewriting, grammatical error correction, and language learning, aiming to enhance communication and understanding across diverse linguistic landscapes. Dr. Post earned his Ph.D. from the University of Rochester, where he honed his expertise in computational linguistics and machine learning. His academic journey began with a Bachelor of Science degree from Calvin University, where he developed a foundational understanding of computer science principles that continue to inform his research today. At Johns Hopkins University, Dr. Post is actively involved in advancing the field of natural language processing through both his research and teaching. He collaborates with a team of dedicated researchers and students, contributing to the development of innovative solutions that address complex linguistic challenges. His work not only pushes the boundaries of what is possible in machine translation but also seeks to improve the accuracy and efficiency of language processing technologies. Dr. Post's contributions to the field are recognized through numerous publications and presentations at leading conferences. His commitment to advancing language technology is driven by a passion for making communication more accessible and effective for people around the world.