Jim Haxby’s research focuses on the neural systems for visual perception with an emphasis on high-level vision – perception of faces, objects, actions, and dynamic natural stimuli – and on computational approaches to modeling information embedded in distributed patterns of activity and connectivity in fMRI data. He introduced multivariate pattern analysis to investigate population codes in patterns of activity and, more recently, developed hyperalignment, a suite of computational approaches for modeling the shared information in idiosyncratic fine-grained functional topographies, and approaches for leveraging hyperalignment to investigate individual differences in fine-grained cortical functional architecture.
Ida Gobbini
Professor Ida Gobbini is a visiting professor at Dartmouth, link to her lab website is here. Her research focuses on the detection and recognition of personally familiar faces and the subsequent activation of elaborated person knowledge.
Feilong Ma
Feilong is a Postdoctoral Fellow after graduating from the lab. He is interested in how individuals differ in cortical functional architecture, and how these differences relate to differences in cognition and behavior. He also has a broad interest in computational approaches, especially multivariate pattern analysis (MVPA) and hyperalignment.
Jiahui Guo
Jiahui is a Postdoctoral Fellow. She did her PhD at Dartmouth in Brad Duchaine’s lab. Jiahui is interested in using computational methods to understand the human cognitive system, especially the face-processing system, in a wide range of populations, including patients and people with decreased abilities.
Jiaxin (Cindy) Tu
Cindy is a Postdoctoral Fellow. She did her PhD at Washington University in St. Louis under the supervision of Dr. Muriah Wheelock (co-advised by Dr. Adam Eggebrecht). Cindy is interested in generalizing hyperalignment to study pediatric cohorts and subcortical structures, such as revealing the brain’s functional organization and representational differences across healthy and clinical populations.
Jane Han
Jane is a graduate student. She earned her master’s degree in biomedical engineering at Sungkyunkwan University under Professor Won Mok Shim’s advice. She is interested in using computational analysis on fMRI and behavioral data to investigate how we could improve education using neural data in everyday life.
Yuqi Zhang
Yuqi is a graduate student. She earned her undergraduate degree in Computer Science and Cognitive Science from Carnegie Mellon University. Her research interests lie at the intersection of neuroscience and computer science, with a focus on functional mapping of fMRI data and the development of computational models to better understand human brain function. She is particularly interested in understanding individual differences in brain organization and applying these insights to the study of neurological and psychiatric disorders.
Alyssa Palacios
Alyssa is the Project Coordinator/Lab Manager. She earned her BA in Psychology at Dartmouth College.
Rachel Hookway
Rachel is the Research Coordinator.
Caroline Lee
Caroline Lee transferred to our lab in 2023 and has been working on a collaborative project with Chris Baldassano at Columbia University, developing, Hyper-HMM, an algorithm that simultaneously resolves idiosyncrasies in spatial topographies using hyperalignment and temporal idiosyncracies in event boundaries using the Hidden Markov Model.
Aidan Fillippa
Aidan is an undergraduate student studying Neuroscience and Russian at Dartmouth College. He is interested in human cognition and visual perception. He is currently working with Xiaoxuan on the HyperBase project.
