How does the brain prepare and execute movements from as simple as reaching for a cup of coffee to performing a perfectly synchronized dive? Which computational principles does the brain use to help us learn new motor skills? Do these insights enable development of next-generation medical devices that can help people with movement disorders? To study these questions, I apply techniques from statistical signal processing, machine learning, and dynamical system theory to uncover computational motifs that underlie motor control and learning.

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Education & Certifications

  • PhD candidate, Stanford University, Bioengineering
  • M.S.E., Johns Hopkins Universoty, Biomedical Engineering (2014)
  • B.S., Johns Hopkins University, Electrical Engineering (2012)
  • B.S., Johns Hopkins University, Biomedical Engineering (2012)