A cognitive computational neuroscientist and a data scientst

working on understanding how the human brain works.


Who am I?

I am a Junior Group Leader and Principal Investigator at UC Berkeley and TU Berlin . I am interested in understanding how complex information is encoded in the brain and use machine-learning approaches to fit computational models to large-scale brain data acquired during natural tasks. Currently, I explore how more than one language can coexist in the human brain.

I was a postdoctoral researcher at the Helen Wills Neuroscience Institute in UC Berkeley, a Moore-and-Sloan Data Science Fellow at the Berkeley Institute for Data Science , and DAAD postdoctoral fellow at International Computer Science Institute (ICSI) in Berkeley. I did my Ph.D. in Computational Neuroscience at Bernstein Center for Computational Neuroscience in Berlin, obained a M.Sc. in Computer Science from the Technical University of Munich and worked at California Institute of Technology during my master’s thesis.

I routinely disregard disciplinary boundaries and follow my curiosity. This makes my work lie at the intersection between data science, neuroscience and artificial intelligence. I design and promote approaches for scientific reproducibility and 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.

Here is my CV.


    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

    In preparation

    • 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



fatma@berkeley.edu; deniz@tu-berlin.de