Semantic Representation in the Human Brain during Listening And Reading



Fatma Deniz

BIDS Alum – BIDS Data Science Fellow

Fatma Deniz  (née Imamoglu) is a joint postdoctoral researcher at the Gallant Lab in UC Berkeley’s Helen Wills Neuroscience Institute and the International Computer Science Institute. She is interested in how sensory information is encoded in the brain and uses machine learning approaches to fit computational models to large-scale brain data acquired using functional magnetic resonance imaging (fMRI). Fatma works at the intersection between computer science, linguistics, music, and neuroscience. Her current focus is on the cross-modal representation of language in the human brain. In addition, she works on improving internet security applications using knowledge gained from cognitive neuroscience (MooneyAuth Project). She is an enthusiastic teacher for Berkeley's data-8 connector course Data Science for Cognitive Neuroscience (Fall2016 and Spring2017) and an instroctor in Software Carpentry, where she teaches scientific computing. As an advocate of reproducible research practices she is the co-editor of the book titled “The Practice of Reproducible Research”. As a data science fellow, she is interested in teaching and reproducible research and sees herself as a connector between diverse domains. She is a passionate coder, runner, baker, and cello player.