Nima Mesgarani

Electrical Engineering

Nima Mesgarani’s research is focused on exploration of human speech communication. He studies representational and computational characteristics of the human brain areas involved in naturalistic speech communication, and integrating these attributes into novel mathematical models used in machine emulation of speech communication. Better models of the underlying neural mechanisms involved in speech processing can critically impact research in artificial intelligence, neurolinguistics, systems neuroscience, translational medicine, and brain computer interfaces.

  • 2017, Associate Professor, Department of Electrical Engineering, Columbia University, New York, NY
  • 2013, Assistant Professor, Department of Electrical Engineering, Columbia University, New York, NY
  • 2010-2013, Postdoctoral Scholar, Department of Neurological Surgery, University of California San Francisco, CA
  • 2008-2010, Postdoctoral Scholar, Center for Language and Speech Processing, Johns Hopkins University, MD
  • 2016, National Science Foundation (NSF), Faculty Early Career Development Award
  • 2016, Collaborative and Multidisciplinary Pilot Research Award for Basic Science and Clinical/Translational Investigators (CaMPR BASIC), Irving Institute
  • 2015, Pew Charitable Trust, Pew Scholar in the Biomedical Sciences Award
  • 2015, Research Initiatives in Science and Engineering Award (RISE)
  • 2015, Kavli Institute for Brain Science Award          
  • 2005, George Harhalakis Outstanding Systems Engineering Graduate Student Award​
  • NSF, NIH, Kavli Institute, Pew Charitable Trust, Starkey
  • Khalighinejad, B.,  Cruzatto da Silva, G., Mesgarani, N.,  Dynamic Encoding of Acoustic Features in Neural Responses to Continuous Speech, (2017), Journal of Neuroscience
  • Chen, Z., Luo, Y., Mesgarani, N., Deep attractor network for single-microphone speech separation,  in Proc. IEEE Int. Conf. Acoust. Speech and Signal Process., 2017
  • Nagamine, T., Chen, Z., Mesgarani, N., (2016), Adaptation of neural networks constrained by prior statistics of node co-activations, In Sixteenth Annual Conference of the International Speech Communication Association, San Francisco,
  • Yang, M., Sheth, S. A., Schevon, C. A., II, G. M. M., & Mesgarani, N. (2015). Speech reconstruction from human auditory cortex with deep neural networks. In Sixteenth Annual Conference of the International Speech Communication Association, Dresden, Germany
  • Mesgarani, N., Cheung, C., Jonson, K., Chang, E. F., (2014), Phonetic feature encoding in human superior temporal gyrus, Science 1245994
  • Mesgarani, N., David, S. V., Fritz, J., Shamma, S., (2014), Mechanisms of noise robust Representation of Speech in Primary Auditory Cortex, Proceedings of the National Academy of Sciences (PNAS), 111.18
  • Mesgarani, N., Chang, E. F., (2012), “Selective cortical representation of attended speaker in multi-talker speech perception”, Nature 485