Kinsey Bice

Kinsey BiceKinsey’s research focuses on how individual differences in people’s brains reflect cumulative past experiences, especially related to bilingualism and language learning, and how those differences can be used to predict new learning or can be changed by learning. She completed her Ph.D. in Cognitive Psychology with a dual-title in Language Sciences at Pennsylvania State University where she worked with Judith Kroll to examine how the brain supports bilingual language use and new language learning using EEGs. She received funding from the William Orr Dingwall Neurolinguistics Fellowship and from the National Science Foundation Dissertation Improvement Award to complete her dissertation project on the dynamics of language processing and new language learning in bilinguals and monolinguals. At I-LABS, she is supported by the University of Washington Institute for Neuroengineering and Washington Research Foundation Funds for Innovation in Neuroengineering for a project that identifies optimal brain states for new language learning and then uses different methods of manipulating brain activity (neurofeedback training, tDCS) to coerce learners’ brains into those states.



Jeff MacInnes

Jeff’s work focuses on developing innovative tools that challenge the constraints of traditional experimental methodology, and using those tools to investigate novel questions about brain and behavior. He completed his Ph.D. in cognitive neuroscience at Duke University working with Alison Adcock to study the effects of neurofeedback training on reward and memory networks. As part of this research, he developed novel methodologies for accessing and analyzing fMRI data in real-time. At the University of Washington, he is supported by a Keck Foundation grant to continue advancing neuroimaging methods and has developed an open source software package to support real-time fMRI across multiple scanning environments and experimental paradigms. Using this approach, he and the team and UW are developing the first fMRI-based direct brain to brain interfaces in humans.


Peiyun Zhou

Theresa Becker

Lauren Graham