Retreat

Novel materials and processing techniques for large-area and flexible electronic/photonic devices. Polymeric materials for electronics, bioelectronics, and biosensors. Electrochemical devices for neuromorphic computing. Defects and structure/property studies of polymeric semiconductors, nano-structured and amorphous materials in thin films. Advanced characterization techniques for soft matter.

Guosong Hong is an Assistant Professor of Materials Science and Engineering at Stanford University. His research integrates materials science, physics, and chemistry to address fundamental challenges in biology and medicine. The Hong Lab is internationally recognized for pioneering technologies in in vivo optical transparency, deep-tissue light delivery, and biophotonics-enabled neurotechnology.

Kalanit Grill-Spector is a Professor in Psychology and the Wu Tsai Neurosciences Institute. Her research examines how the brain processes visual information and perceives it. She uses functional imaging techniques to visualize the living brain in action and understand how it functions to recognize people, objects and places and develops computational models as well as topographic deep neural networks to both predict neural responses and elucidated why the visual system is organized the way it is functionally and structurally.

Dr. Bianxiao Cui is the Job and Gertrud Tamaki Professor of Chemistry and a fellow of the Wu Tsai Stanford Neuroscience Institute at Stanford University. She holds a Ph.D. degree in Chemistry from the University of Chicago and a BS degree from the University of Science and Technology of China. Dr. Cui develops new tools to study the nano-bio interface, membrane curvature, electrophysiology, and signal transduction in cells at normal and disease conditions. As a scientist and a teacher, she enjoys working with young scholars to explore the natural world with scientific innovations.

Paola is a postdoctoral fellow in the lab of Will Talbot in the Department of Developmental Biology. Her research interest focuses on understanding the cell biology of myelinating glial cells using zebrafish genetics.

Dr. Brear is interested in finding out if artificial neural networks, if given biologically realistic architectures and sensory experience, "learn" representations that resemble those found in animal brains. If they can, these computational models could explain how sensory information guides decisions. Eventually, they could endow artificial agents with the rich repertoire of animal behavior.