Dr. Cindy Chestek

Professor

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Biography

Cindy Chestek is a Professor in the Department of Biomedical Engineering at the University of Michigan. Her research primarily focuses on brain machine interface (BMI) systems, particularly the use of 100 channel arrays implanted in the motor pre-motor cortex. The goal of her research is to develop clinically viable systems that enable paralyzed individuals to control prosthetic limbs or their own limbs through functional electrical stimulation and assistive exoskeletons. Dr. Chestek is particularly interested in algorithms that model the non-linear relationship between neural activity and the complex biomechanics of the arm. Her work includes developing mitigation strategies for non-stationarities in neural recordings over time, as well as implantable wireless systems that can eliminate the transcutaneous infection risk currently associated with existing BMIs. Additionally, she is involved in the development of nerve-controlled prosthetic hands, which are currently undergoing initial clinical trials. Her lab also works on tiny electrode arrays made from carbon fiber, which are smaller than neurons and promise to dramatically improve the performance of neuroprosthetic systems in the future.

Research Interests

Experience

Professor

— Present

University of Michigan • Ann Arbor, MI

Leading research in brain machine interface systems and their clinical applications.

Requirements for University of Michigan

Master Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Total
Required:84
GRE General
Verbal
Required:155
Verbal Percentile
Required:50
Quantitative
Required:168
Quantitative Percentile
Required:50
Analytical Writing
Required:3.6
Writing Percentile
Required:50
Prerequisites
Bachelor degree in engineering, physics, or mathematics Calculus Physics
Application Checklist
  • Rackham Graduate School Application
  • Official Transcripts
  • 3 Letters of Recommendation
  • Academic Statement of Purpose
  • Personal Statement
  • CV/Resume
Specialization Notes

Department of Electrical Engineering and Computer Science