Chunxiu (Traci) Yu

Traci Yu

Contact

  • Assistant Professor, Biomedical Engineering
  • Affiliated Assistant Professor, Biological Sciences
  • PhD, The Weizmann Institute of Science

Biography

Dr. Chunxiu (Traci) Yu is an assistant professor in the Department of Biomedical Engineering. She received her Ph.D. degree at the Weizmann Institute of Science in Israel. After graduation, she joined Duke University and University of North Carolina at Chapel Hill for her postdoctoral trainings to study the neural mechanisms underlying reward-guided behaviors, as well as the signal processing and network dynamics of visual attention. Before joining the MTU, she was a research scientist in the Department of Biomedical Engineering at Duke University to study brain mechanisms of deep brain stimulation in Parkinson’s disease. 

Dr. Yu’s research focuses on understanding signal processing networks of sensory and motor systems and developing biomedical devices to treat neurological disorders. Her research employs various neural engineering and neurobiological approaches, such as programming and computational modeling, electrical stimulation, optogenetics, electrophysiology, behavioral assays, and neuroanatomy. Dr. Yu has received research supports from NIH funds (NIH R03 and NIH R15) and MTU internal funds (Engineering Cross-Cutting Initiative, C2E2, and REF).

Brain Stimulation Engineering Lab

Our mission is to engineer novel brain stimulation paradigms through technology development, computational modeling, and experimental studies, with the goal of advancing the therapeutic efficacy and efficiency of deep brain stimulation for the treatments of neurological diseases.

Below: The components of deep brain stimulation include temporal pattern design, device modification, closed-loop stimulation, electrical stimulation, and optogenetic stimulation.

Deep Brain Stimulation components graphic.

Links of Interest

Research Interests

  • Neuroengineering
  • Brain Stimulation (Optogenetic and Electrical)
  • Neural Signal Processing
  • Brain-Computer Interface
  • Brain and Behavior (Parkinson's Disease, Depression, Stroke, and Addiction)

BME Research Areas

  • Biosensors and Biomedical Instrumentation
  • Biomedical Optics and Ultrasound