People

CV

Emily’s research interests include the neural systems involved in recognition of individuals and their emotions, as well as the detection of social cues. She is interested in studying the brain regions that represent the visual configuration of the face and the regions that encode the meanings of those configurations. She would like to apply computational and neuroimaging methods to investigate these research topics. Emily received her B.A. in Psychology from New York University in 2017.

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.

Tony graduated from Boston College in May 2020, where he studied psychology, mathematics, and minored in computer science. He is broadly interested in how humans encode abstract and perceptual information,  the organizational and geometric properties of these representational spaces, and the neural mechanisms that underlie their embedding and retrieval. His research interests also lie in the intersection of machine learning and psychology/neuroscience, where he hopes to leverage Bayesian and Reinforcement Learning models to better study how humans learn in noisy, dynamic, and multi-agent situations.

Christina's research interests include the neural systems responsible for social cognition. She is researching individual differences in patterns of functional connectivity between regions involved in facial expression recognition and theory of mind regions. She plans to use computational and neuroimaging methods to better understand how individuals vary in theory of mind and other social cognitive computations. 

I’m a neuroscience major with a minor in studio art. I am currently working on my thesis where I am examining the connection between functional connectivity variability and genetic variability in autistic individuals. 

Yu is a rising senior interested in applying mathematical modeling and machine learning methodology to life science problems. She uses those methods to denoise the fMRI voxels supervised by Prof. Anzellotti and to investigate microbial community colonization guided by Prof. Momeni.

Alicia is interested in studying individual differences in psychiatric disorders using neuroimaging data and deep learning techniques.

Obinna is interested in studying how human observers understand and predict other people's actions.

Jianxin (Jeff) is interested in deep learning methods and in how human cognition and the study of the human brain can inspire new breakthroughs in AI.

Nick is interested in using deep learning models to study action perception.