Current Members
Principal Investigator
Jonathan Viventi
Hawkins Family Associate Professor
j.viventi@duke.edu
Dr. Viventi’s research uses flexible electronics to create new technology for interfacing with the brain at high resolution over large areas. These new tools can help diagnose and treat neurological disorders such as epilepsy, and help improve the performance of brain machine interfaces. [...]
PhD Students
Ryan Becker
PhD Candidate
ryan.becker860@duke.edu
I graduated from Wichita State University with a B.S. in Biology and a B.S. and M.S. in Biomedical engineering. During my undergraduate career, I worked in Dr. Kim Cluff’s biomedical sensors, imaging, modeling, and engineering (BioME) lab where I designed a multimodal spectral probe for [...]
Ceci Schmitz
PhD Candidate
cecilia.schmitz@duke.edu
My background in electrical engineering and interest in neurological disorders fostered a curiosity about how to interact with the nervous system using medical devices. As an undergraduate, I performed data analysis research with neural sensors for electroencephalography (EEG) and [...]
Evan Smith
PhD Candidate
evan.smith@duke.edu
My work centers on developing translatable neural interfaces for speech restoration that capture the motor recruitment of speech articulators using microelectrocorticography. In this context, I am exploring the dependence of decoding accuracy on the spatial resolution and span of epicortical [...]
Zac Spalding
PhD Candidate
zac.spalding@duke.edu
My interests in neural engineering grew from seeing how a patient’s neural signals could be harnessed to restore motor ability to those who have lost such functions. From this, I became fascinated by how advances in signal processing enabled brain-computer interfaces to perform increasingly [...]
Ruth Verrinder
PhD Candidate
ruth.verrinder@duke.edu
I studied bioengineering at the University of California, Merced, and became interested in medical device design for neurological disorders as a junior undergraduate. As a Ph.D. student in Dr. Viventi’s lab, I am interested in developing minimally invasive, high resolution recording [...]
Richard Yang
Ph.D. Student
tianyu.yang@duke.edu
I graduated from the University of Wisconsin-Madison with concentrations in Bioinstrumentation and Machine Vision. As an undergraduate student, I built fully-implantable chronic instrumentation systems for neural sensing and recording at the Wisconsin Institute for Neural Engineering. At Duke [...]
