Biography

I am a 2nd year PhD student in Machine Learning at the University of Cambridge, having started in October 2019. I am a member of the Machine Learning Systems group in the Computer Science department, where I am supervised by Dr Nic Lane.

My research interests focus on enabling edge devices to reason from non-uniformly structured data efficiently. The research in my PhD so far has focused on enabling efficient inference for graph neural networks (GNNs), which have a variety of useful applications which are currently not viable for edge platforms. I am interested in hardware-software co-design techniques, systems challenges, and applications.

My Bachelor's dissertation with Dr Robert Harle investigated anonymous human proximity detection techniques for smartphones; similar approaches are now used for COVID-19 contact tracing. In my Master's dissertation, with Professor Cecilia Mascolo, I focused on building devices that can listen to your body, and won a highly commended award from the department, and a best paper award at the WellComp workshop at Ubicomp 2020.