Research interests
My research aims to develop a broadly applicable inverse design framework for integrated quantum photonics that optimises device layouts, controls and systems using physics informed machine learning while accounting for fabrication constraints.
This research works to improve the design path from concept to chip and elevates the reliability and scalability of quantum photonic systems as well as a general integrated photonic design process.
Department role and responsibilities