Lebenslauf von Fatma Deniz

Ausbildung

2008-2013Dissertation: Visual Consciousness and Corticocortical Connectivity in the Human BrainTechnische Universität Berlin und Berlin Bernstein Center for Computational Neuroscience (BCCN) – Berlin, Deutschland
2007-2008Diplomarbeit in Computational Neural SystemsCalifornia Institute of Technology (Caltech) – Pasadena, CA, USA
2001-2008Informatik-DiplomTechnische Universität München (TUM) – München, Germany
1997-2001AbiturBursa Kiz Lisesi – Bursa, Türkei

Berufserfahrung

04/2023-heuteUniversitätsprofessorin (W3) Informatik, gefördert durch das Berliner Chancengleichheitsprogramm,Fachgebiet Sprache und Kommunikation in Biologischen und Künstlichen Systemen, Fakultät für Elektrotechnik und Informatik, Technische Universität Berlin – Berlin, Deutschland
04/2023-heuteMitgliedBerlin Bernstein Center for Computational Neuroscience
2020-2023Wissenschaftliche MitarbeiterinFakultät für Elektrotechnik und Informatik, Technische Universität Berlin – Berlin, Deutschland
2020-2023Projektleitung für das NSF-BMBF geförderte Projekt „Language representations in bilinguals“ 
2018-2023Assistant Project Scientist & Exceptional Principal InvestigatorHelen Wills Neuroscience Institute, University of California – Berkeley, CA, USA
2014-2018Data Science FellowBerkeley Institute for Data Science (BIDS), University of California – Berkeley, CA, USA
2016-2017Lehrbeauftragte, Bachelorstudium, Data Science Education ProgramUniversity of California – Berkeley, CA, USA
2013-2018PostdoktorandinHelen Wills Neuroscience Institute, International Computer Science Institute, University of California –Berkeley, CA, USA

Forschungsprojekte

  • European Research Council (ERC), Starting Grant, “Linguistic Tuning Shifts in the Human Brain during Second Language Learning”, PI. 2023-2028.
  • UCSF, UC Berkeley Schwab Dyslexia and Cognitive Diversity Center, “Detailed cortical mapping of disrupted language representations in dyslexia”, Co-PI. 2022-2023.
  • Bundesministerium für Bildung und Forschung (BMBF), Federal Grant für ein 3-Tesla Forschungs-Magnetresonanztomographie (MRT) Scanner.2021.
  • USA-Germany Collaborative Research in Computational Neuroscience (BMBF-NSF), “Language Representations in Bilinguals”, Co-PI. 2020-2025.

Publikationen

Bücher

  1. Kitzes J., Turek D., Deniz F., editors, The Practice of Reproducible Research: Case Studies in Data Science, UC Press. 2017. Online book available

Buchkapitel

  1. 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
  2. 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

Zeitschriftenveröffentlichungen und Konferenzbeiträge

  1. Gong X. L., Huth A. G., Deniz F., Johnson K., Gallant J. L., Theunissen, F. E., Phonemic segmentation of narrative speech in human cerebral cortex. Nature Communications, 14(1), 4309, 2023.
  2. Deniz F.*, Tseng C.*, Wehbe L., Dupre la Tour T., Gallant J. L., Semantic representations during language comprehension are affected by context. Journal of Neuroscience, 43(17), 3144-3158, Featured Research March 28th 2023.
  3. Lamarre M., Chen C., Deniz F., Attention weights accurately predict language representations in the brain, In Association for Computational Linguistics: EMNLP, Empirical Methods in Natural Language Processing, 2022.
  4. Popham S., Huth A. G., Bilenko N. Y., Deniz F., Gao, S. J., Nunez-Elizalde A., Gallant J. L., Visual and linguistic semantic representations are aligned at the border of human visual cortex. Nature Neuroscience 24, 1628-1636. 2021.
  5. Ramakrishnan K. and Deniz F., Complementarity of information in word-embedding and brain representations in distinguishing between concrete and abstract words. In Proceedings of NAACL HLT Workshop on Cognitive Modeling and Computational Linguistics CMCL. 2021.
  6. 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. Journal of Neuroscience, 39 (39) 7722-7736. 2019.
  7. Castelluccia C., Duermuth M., Golla M., Deniz F., MooneyAuth: Towards Practical Implicit Memory-based Authentication. In Network and Distributed System Security Symposium (NDSS). 2017.
  8. 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.
  9. 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.
  10. Castelluccia C., Duermuth M., Imamoglu F., Learning from Neuroscience to Improve Internet Security. ERCIM News, 99:46. 2014.
  11. 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.
  12. Imamoglu F., Kahnt T., Koch C., Haynes J.-D., Changes in functional connectivity support conscious object recognition. Neuroimage, 63:1909-17. 2012.

Manuskripte auf arXiv

  1. Chen C., Dupre de la Tour T., Gallant J.L., Klein D., Deniz F., The cortical representation of language timescales is shared between reading and listening
  2. Wu M.*, Deniz F.*, Prenger R., Gallant J. L., The unified maximum a posteriori (MAP) framework for neuronal system identification (*First authorship shared), arXiv.

Gremienarbeit

2023-heuteBerlin University Alliance, Wissenschaftliches Mitglied im Steering Committee, “Objective 5: Sharing Resources“
2022-heuteBerkeley Institute for Data Science, Alumni-Beratungsgremium, University of California Berkeley
2022-heuteKommunikations-AG, Technische Universität Berlin
2019-heuteWissenschaftlicher Beirat, DAAD Informatik Fellowship Programm, Stipendienprogramm des Deutschen Akademischen Austauschdienstes
 Begutachtungstätigkeiten für Nature Human Behavior, Nature Communication Biology, Journal of Neuroscience, Cell Reports, Neurobiology of Language, Neuroimage, Cerebral Cortex, Journal of Personality Assessment, Cognitive Computational Neuroscience, Perception