is pursuing a Ph.D. in EECS at University of California, Berkeley focusing on novel neural interfaces. He received his B.A. in Physics with a secondary in Computer Science from Harvard University in 2013. His undergraduate research focused on how simple organisms such as C. elegans and fruit flies integrate sensory stimuli into motor behavior.
Wafer-Scale Intracellular Carbon Nanotube-Based Neural Probes [BPN745]
Current in-vivo methods of electrical recordings of the brain are hampered by low spatial
resolution, invasiveness to the surrounding tissue, and scalability. Carbon nanotube based
electrodes are ideal for intracellular neural recordings due to their small size and flexibility,
allowing for higher density arrays and less damage to the brain. However, current methods for
selective placement and alignment of carbon nanotubes cannot be done easily on a wafer scale. This
project aims to solve this issue in order to create wafer-scale carbon nanotube based neural probes
for intracellular recordings.