A data scientist and cognitive computational neuroscientist

working on understanding how the human brain works.


Who am I?

I am a postdoctoral researcher in the Gallant lab in UC Berkeley. I am interested in how sensory information is encoded in the human brain and use machine learning approaches to fit computational models to large-scale functional neuroimaging data. Currently, using functional magnetic resonance imaging (fMRI) I try to understand how the brain represents and processes information when it performs a natural task. For example, when we listen to or read a story.

In addition, I design and promote approaches for scientific reproducibility. I co-edited a book on reproducibility published here. Here is an online version of the book. I also worked on improving online user authentication applications using image based authentication procedures combined with knowledge gained from cognitive neuroscience (Check MooneyAuth ) and created a database of two-tone Mooney images. E-mail me if you would like to use those for your research. Code is available on GitHub.

I am a passionate coder, baker, and I love feeling the resonance when I play the cello which makes me simply happy.



    • Kitzes, J., Turek D., Deniz F., editors, The Practice of Reproducible Research: Case Studies in Data Science, UC Press, 2017. Online version book available at https://www.practicereproducibleresearch.org/.

    Book Chapters

    • Deniz F., "pyMooney: Generating a Database of Two-Tone, Mooney Images ". In The Practice of Reproducible Research: Case Studies in Data Science. Kitzes, J., Turek D., Deniz F., editors. UC Press, 2017

    • Turek D., Deniz F., "Introducing the Case Studies". In The Practice of Reproducible Research: Case Studies in Data Science. Kitzes, J., Turek D., Deniz F., editors. UC Press, 2017

    Journal Articles

    • Deniz F., Nunez-Elizalde A.O., Huth A. G., Gallant J. L., The representation of semantic information across human cerebral cortex during listening versus reading is invariant to stimulus modality. J. Neurosci 2019, 10.1523/JNEUROSCI.0675-19.2019

    • Holdgraf C., Culich A., Rokem A., Deniz F., Ushuzima D., Alegro M., Portable learning environments for hands-on computational instruction: Using container- and cloud-based technology to teach data science. In Proceedings of the Practice and Experience in Advanced Research Computing on Sustainability, Success and Impact (p. 32), ACM, 2017

    • Castelluccia C., Duermuth M., Golla M., Deniz F.., MooneyAuth: Towards Practical Implicit Memory-based Authentication, In Network and Distributed System Security Symposium (NDSS), 2017

    • Kizilirmak J. M., Gomes da Silva J. G., Imamoglu F., Richardson-Klavehn A., Generation and the subjective feeling of "aha!": Independent contributions to learning from insight, Psychological research 80 (6), 1059-1074, 2015

    • Castelluccia C., Duermuth M., Imamoglu F., Learning from Neuroscience to Improve Internet Security, ERCIM News, 99:46, 2014

    • Imamoglu F., Heinzle J., Imfeld A., Haynes J.-D., Activity in high-level brain regions reflects visibility of low-level stimuli, Neuroimage, 102:688-694, 2014

    • Imamoglu F., Kahnt T., Koch C., Haynes J.-D., Changes in functional connectivity support conscious object recognition, Neuroimage, 63:1909-17, 2012

    In preparation

    • Wu M.*, Deniz F.*, Prenger R., Gallant J. L., The unified maximum a posteriori (MAP) framework for neuronal system identification (* First authorship shared, arXiv, https://arxiv.org/abs/1811.01043)

    • Deniz F.*, Wehbe L.*, Tseng C.*, Gallant J.L., Different contextual effects modulate the representation of word meaning in the human brain (* First authorship shared)

    • Wehbe L., Huth A. G., Deniz F., Luise-Kieseler M., Gallant J. L., Automated simulation and replication of fMRI experiments

    • Bilenko N. Y, Deniz F., Huth A. G., Cukur T., Nishimoto S., de Heer W.A, Gallant J. L., FISCA: Functional Inter-Subject Component Analysis

    • Wehbe L., Nunez-Elizalde A., Huth A.G., Deniz F., Bilenko N., Gallant J. L., Deep multi-view representation learning of brain responses to natural stimuli


Language Representations in the Brain

Visual Awareness