Skip to Main Content
Su Liu, Ph.D.

Su Liu, Ph.D.

Department:

Desai Sethi Urology Institute

Su Liu, Ph.D.
Message Send!
Send a Message

Roles

  • Research Assistant Professor
  • Co-Director of The Engineering for Precision Rehabilitation (EPR) Laboratory
  • Biography

    Dr. Su Liu is a Research Assistant Professor in Urology and Biomedical Engineering at the University of Miami, jointly affiliated with the Department of Neurology and The Miami Project to Cure Paralysis. Her research focuses on developing multimodal neurobiomarkers to improve clinical diagnosis of neurological disorders and advancing brain-computer interface (BCI) and neuromodulation technologies for motor rehabilitation. Her work aims to enhance the reliability and translational potential of invasive and non-invasive EEG for applications in epilepsy and BCIs, ultimately informing precision, closed-loop neuromodulation strategies for restoring motor function.

    Dr. Liu earned her Ph.D. in Biomedical Engineering, where she developed automated algorithms for detecting high-frequency neural biomarkers, and completed her postdoctoral training at Stanford University School of Medicine, investigating the physiological and pathological significance of high-frequency brain activity.
  • Education & Training

    Education

    • 2017
      University of Houston, Houston, Texas
      PhD, Biomedical Engineering

    Post Graduate Training

    • 2021
      Stanford University, Palo Alto
      Post-Doctoral Fellowship, Neuroscience
  • Research Interests

    Dr. Liu’s research focuses on high-frequency brain activity and neural dynamics to identify pathophysiological markers of neurological disorders and mechanisms underlying motor control and dysfunction. Her work integrates multimodal neural recordings and computational modeling to develop next-generation BCI and neuromodulation systems that promote adaptive neuroplasticity and motor and cognitive recovery.
  • Publications

    Loading...

    No result found

      Disclaimer: Information presented in this section has been consolidated using AI and machine learning technologies. While every effort has been made to ensure accuracy, errors may occur. If you identify any inaccuracies, use this link to inform our data team. Your feedback is appreciated and helps us improve the quality of our content.