People

CV

Hamed is interested in understanding how action recognition and action perception are resolved in both the human and the machine. He studies how the human brain represents different kinds of information when perceiving and predicting other individuals' actions. He employs computational approaches and neuroimaging methods to tackle these questions. Hamed got his master's in computer science from Amirkabir University of Technology and his bachelor's from University of Tehran, both in Tehran, Iran.

Obinna is deeply interested in studying how human observers understand and predict other people’s actions. He is fascinated by the cognitive and neural mechanisms underlying this ability, particularly how the brain integrates sensory information and prior knowledge to anticipate future actions. His research aims to uncover the processes involved in action prediction, which has important implications for understanding social interactions and developing applications in fields such as artificial intelligence and robotics. 

Yiyuan (pronunciation: E-U-AN) is interested in how causal reasoning is shaped by complex social interactions and perceptions. Specifically, his current research looks at how people make responsibility judgments from natural videos using behavioral experiments and computational models. He is also excited about leveraging the power of network neuroscience to study social cognition. He majored in Neuroscience and minored in Math at Baylor University. After graduating from Baylor in 2017, he earned an M.S. in Biomedical Engineering at Johns Hopkins University in 2020. 

Having been exposed to a diverse of disciplines related to cognitive science along the journey, Tianyi is broadly interested in language and cognition. She seek to learn how people understand each other through learning, exchanging, and interpreting abstract information and how this knowledge in turn can help us to build more intelligent machines. To achieve this, she employ a combination of computational modeling and empirical studies. Tianyi got her master's in cognitive neuroscience from the Netherlands and her bachelor's in software engineering from China. 

Mary is a junior at Boston College majoring in Neuroscience. She is interested in using deep learning techniques to explore multivariate connectivity in the occipital lobe. She is currently working on a project that is using EEG data from macaques to explore the relationship between neural responses in areas V1 and V4.

Sarah is a Junior at Boston College majoring in Psychology and Computer Science with a minor in Finance. She is interested in using computational modeling to understand and predict how people perceive and interact with each other. 

Xinlu is interested in learning and building artificial neural networks in different computational models such as the variational autoencoder and the diffusion model to study how our brain recognizes, generates, and predicts dynamic facial expressions. She is trying to study which model can make the most similar response as our brain does.

Wei is interested in language acquisition and conceptual representation, particularly in children, who learn complex concepts and languages within a few short years despite limited cognitive resources and minimal world experience compared to adults. She's studying how children, adults, and machines learn language by integrating computational modeling and big data into cognitive development studies. Wei earned her master's degree in Developmental Psychology from Cornell University and her bachelor's degree in Psychology from Zhejiang University.