Aidas works on a project funded by the Simons Foundation modeling heterogeneity of brain-connectivity in Autism. Specifically, he interrogates large datasets of resting-state fMRI to look at patterns of functional connectivity - using advanced computational methods. The project goal is to better understand subtypes and factors in Autism spectrum disorder. Before coming to BC, Aidas got his doctoral training at the university of Trento, Italy - where he used fMRI to understand how knowledge concepts are represented across brain networks.
Mengguo is interested in young children’s learning through interaction with the environment. She has been studying children’s transfer of learning from different sources of information (e.g., screen media, stories, play). Mengguo now works with Dr. Joshua Hartshorne and Dr. James Pustejovsky on a project that investigates proposals to create artificial general intelligence and understand the mechanisms of early learning. Before coming to BC, Mengguo earned her Ph.D. from the University of Wisconsin-Madison while studying children's attention to and learning from screen media and the impact of social media in adolescents.
Yujing is interested in how meaning and structure of language interact. Her research interests includes how semantics is expressed via syntactic structure and what conceptual primitives enables children to learn languages. She is also interested in developing statistical models for data analysis.