Pumiao graduated from Cornell University in 2018 with a B.S. in Electrical and Computer Engineering. She previously worked on “Micro-scale RF-powered Magnetic Neural Stimulator”. Currently, she is pursuing a PhD in Electrical Engineering at Stanford. Her research focuses on designing ultra high bandwidth neural interfaces that allow single-cell resolution when communicating with the nervous system. Specifically in the context of retina, she studies how to compress neural signals to reduce hardware power and bandwidth requirements.