Tong Shan

PhD candidate in Biomedical Engineering @ University of Rochester
Auditory neuroscience | Hearing science | Music

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Science is art.

I am a Ph.D. candidate in biomedical engineering at the University of Rochester, where I conduct research on the neural mechanisms of auditory processing, perception and cognition, using techniques such as electroencephalography (EEG) and computational modeling with qualitative and quantitative methods. I specifically interested in auditory encoding of natural sounds, such as speech and music.

In addition, I have various experience related to digital signal processing, statistical analysis, and machine learning. I am passionate about applying my expertise in audio, hearing science and data analysis to improve the quality of life and well-being of people.

I am also a music producer focused on composing, game music and sound design, as well as music-visual art, where I explore the creative and expressive potential of sound and technology. I am always eager to learn new skills, challenge myself, and contribute to the advancement of science and technology. You can find my music projects in my personal portfolio website Cu | 无水醋酸铜.


latest posts

selected publications

  1. ABR_ANM.tiff
    Subcortical responses to music and speech are alike while cortical responses diverge
    Tong Shan ,  Madeline S Cappelloni ,  and  Ross K Maddox
    Scientific Reports, 2024
  2. creepy_face_fig1.jpeg
    Speech-in-noise comprehension is improved when viewing a deep-neural-network-generated talking face
    Tong Shan ,  Casper E Wenner ,  Chenliang Xu , and 2 more authors
    Trends in Hearing, 2022