Honors & Awards


  • Professional Development Award, DANA Foundation (2025)
  • 1st Place Grad Slam, University of California, San Francisco (2024)
  • Travel Award, Society for Neurobiology of Language (2024)
  • 1st Place Video Mind Challenge, Cognitive Science Society (2023)
  • Explorer Award, Hearts to Humanity Eternal (H2H8) (2023)
  • Travel Award, Advances and Perspectives in Auditory Neuroscience (2023)
  • Discovery Fellow, University of California, San Francisco (2022)
  • Training and Professional Development Award, Society for Neuroscience (2021)
  • Graduate Research Fellowship Program, National Science Foundation (2020)
  • Robert J. Glushko Prize for Undergraduate Research, University of California, Berkeley (2018)

Professional Education


  • Doctor of Philosophy, University of California San Francisco (2025)
  • BA, University of California, Berkeley, Computer Science and Cognitive Science (2018)
  • PhD, University of California, San Francisco and UC Berkeley, Cognitive Neuroscience (2025)

Stanford Advisors


Research Interests


  • Brain and Learning Sciences
  • Data Sciences
  • Psychology

All Publications


  • Shared and language-specific phonological processing in the human temporal lobe Nature Bhaya-Grossman, I., et al 2026
  • Vowel and formant representation in the human auditory speech cortex Neuron Oganian, Y., Bhaya-Grossman, I., et al 2023
  • Speech Computations of the Human Superior Temporal Gyrus Annual Review of Psychology Bhaya-Grossman, I., Chang, E. 2022
  • Human cortical dynamics of auditory word form encoding. Neuron Zhang, Y., Leonard, M. K., Bhaya-Grossman, I., Gwilliams, L., Chang, E. F. 2025

    Abstract

    We perceive continuous speech as a series of discrete words, despite the lack of clear acoustic boundaries. The superior temporal gyrus (STG) encodes phonetic elements like consonants and vowels, but it is unclear how whole words are encoded. Using high-density cortical recordings and spoken narratives, we investigated how the human brain represents auditory word forms. STG activity exhibits a distinctive reset at word boundaries, marked by a sharp drop in cortical activity. Between resets, STG encodes acoustic-phonetic, prosodic, and lexical features, supporting integration of phonological features into coherent word forms. This process tracks the relative elapsed time within words, independent of absolute duration, providing a flexible encoding of variable word lengths. Similar dynamics were found in deeper layers of a self-supervised artificial speech network. Finally, a bistable word perception task revealed trial-by-trial STG responses to perceived word boundaries. Together, these findings support a new dynamical model of auditory word forms.

    View details for DOI 10.1016/j.neuron.2025.10.011

    View details for PubMedID 41205609

  • Computational Architecture of Speech Comprehension in the Human Brain ANNUAL REVIEW OF LINGUISTICS Gwilliams, L., Bhaya-Grossman, I., Zhang, Y., Scott, T., Harper, S., Levy, D. 2025; 11: 209-226
  • A bilingual speech neuroprosthesis driven by cortical articulatory representations shared between languages Nature Biomedical Engineering Silva, A., Liu, J., Metzger, S., Bhaya-Grossman, I., et al 2024
  • Gender bias in academia: A lifetime problem that needs solutions. Neuron Llorens, A., Tzovara, A., Bellier, L., Bhaya-Grossman, I., Bidet-Caulet, A., Chang, W. K., Cross, Z. R., Dominguez-Faus, R., Flinker, A., Fonken, Y., Gorenstein, M. A., Holdgraf, C., Hoy, C. W., Ivanova, M. V., Jimenez, R. T., Jun, S., Kam, J. W., Kidd, C., Marcelle, E., Marciano, D., Martin, S., Myers, N. E., Ojala, K., Perry, A., Pinheiro-Chagas, P., Riès, S. K., Saez, I., Skelin, I., Slama, K., Staveland, B., Bassett, D. S., Buffalo, E. A., Fairhall, A. L., Kopell, N. J., Kray, L. J., Lin, J. J., Nobre, A. C., Riley, D., Solbakk, A. K., Wallis, J. D., Wang, X. J., Yuval-Greenberg, S., Kastner, S., Knight, R. T., Dronkers, N. F. 2021; 109 (13): 2047-2074

    Abstract

    Despite increased awareness of the lack of gender equity in academia and a growing number of initiatives to address issues of diversity, change is slow, and inequalities remain. A major source of inequity is gender bias, which has a substantial negative impact on the careers, work-life balance, and mental health of underrepresented groups in science. Here, we argue that gender bias is not a single problem but manifests as a collection of distinct issues that impact researchers' lives. We disentangle these facets and propose concrete solutions that can be adopted by individuals, academic institutions, and society.

    View details for DOI 10.1016/j.neuron.2021.06.002

    View details for PubMedID 34237278