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    Gautam Krishna

    --I have a PhD degree in Electrical and Computer Engineering from UT Austin.

    Gautam Krishna is a Machine Learning Engineer at Apple, specializing in Non-Invasive Brain-Computer Interfaces (BCI) and Glioblastoma Multiforme (GBM). He holds a Ph.D. in Electrical and Computer Engineering from the University of Texas at Austin, where he focused on developing BCI technologies aimed at enhancing user experiences across various electronic devices. His research interests include machine learning algorithms for decoding brain signals, with a vision to improve accessibility in technology and computing.1

    Before joining Apple, Gautam held several significant roles, including Data Tech Lead and Graduate Mentor at the Cockrell School of Engineering at UT Austin. He also gained valuable experience as a Research Intern at Samsung Research America and Fujitsu Network Communications, where he worked on projects related to speech recognition and digital health.2

    Gautam is actively involved in advancing the field of machine learning and is particularly interested in applications that intersect with health technology and human-computer interaction.1

    Related Questions

    What specific projects has Gautam Krishna worked on at Apple?
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    What are some notable achievements of Gautam Krishna in the field of machine learning?
    How has Gautam Krishna's research impacted digital health?
    What are the main challenges Gautam Krishna faces in developing new BCI technologies?
    Gautam Krishna
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    Gautam Krishna, photo 2
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    Location

    Austin, Texas, United States