In the era of digitalization, "big data" and IOT the power consumption of current memory technologies is not sustainable. My research aims to develop emerging memory technologies based on ferroelectric HfZrO₂ to improve on both speed and power consumption, for an enviromentally sustainable future. Furthermore, this technology has the potantial to realise hardware based neuromorphic computation enabling far superior deep-learning performance to traditional architectures.

With a background in Engineering Nanoscience my interests cover material characterization in combination with implementation of these properties in electrical nano devices.