Naomi Feldman

Naomi Feldman's innovative methodologies enhance understanding of the intricate processes involved in language acquisition and computational psycholinguistics. As an Associate Professor in the Department of Linguistics and the Institute for Advanced Computer Studies at the University of Maryland, Dr. Feldman is at the forefront of research that bridges the gap between language science and computational methods. Her work is deeply rooted in the exploration of how humans perceive and process speech, utilizing advanced techniques from statistics, machine learning, and automatic speech recognition. Dr. Feldman's research interests are diverse and encompass areas such as unsupervised language learning, computational cognitive science, and natural language processing. Her affiliation with the Computational Linguistics and Information Processing Lab, the Department of Computer Science, and the Program in Neuroscience and Cognitive Science underscores her interdisciplinary approach to understanding language. By integrating computational models with cognitive theories, she seeks to unravel the complexities of speech perception and information processing. A dedicated educator and mentor, Dr. Feldman is committed to fostering the next generation of researchers in language science. She actively encourages undergraduates and PhD students with a passion for language science and math/computer science to engage in research under her guidance. Her collaborative projects often involve students in cutting-edge research, providing them with invaluable experience in computational linguistics and psycholinguistics. Dr. Feldman's contributions to the field are not only theoretical but also practical, as she aims to develop models that can improve natural language processing systems. Her work has significant implications for the development of technologies that rely on human-computer interaction and speech recognition, making her research highly relevant in today's digital age. Through her innovative research and dedication to teaching, Naomi Feldman continues to make significant strides in understanding the cognitive and computational aspects of language learning. Her work not only advances academic knowledge but also has the potential to impact real-world applications in technology and education.