Himanshi Yadav

Himanshi Yadav is a Research Assistant at the University of Pittsburgh, specializing in psycholinguistics and cognitive science. She has contributed to various studies focusing on sentence processing, memory constraints, and prediction in language comprehension. Her work includes significant publications in reputable journals, such as the Journal of Memory and Language and Computational Brain and Behavior, where she co-authored articles on topics like cue-based retrieval and Bayesian hierarchical models in psycholinguistics.1

Yadav has also presented her research at numerous conferences, including the Architectures and Mechanisms of Language Processing (AMLaP) and the Annual Conference on Human Sentence Processing. Her presentations often explore individual differences in language processing and the effects of dependency lengths in sentence comprehension.1

In addition to her research activities, Yadav's academic background includes a focus on computational linguistics, where she has developed databases and tools for psycholinguistic research, particularly related to Hindi language processing.1 Her contributions are aimed at enhancing the understanding of cognitive mechanisms involved in language use across different languages.