We focus on organic electronic materials for embedding artificial neural networks in hardware, to provide biocompatible and inexpensive neuromorphic devices for adaptable bioelectronics and smart biosensors. 

Organic neuromorphic materials as building blocks for next generation computing and smart lab-on-a-chips.

Part of the Microsystems section in the engineering department, our multidisciplinary research group spans materials science, bioelectronics, electrical engineering and device physics. We focus on organic electronic and neuromorphic materials, with specific applications in adaptable bioelectronics, sensors and brain-inspired smart point-of-care diagnostic devices.