I am a PhD student in Machine Learning at the University of Cambridge, having started in October 2019. The first year of my PhD was spent at Oxford, before I moved with the rest of my research group to Cambridge.
I am a member of the Machine Learning Systems group in the Computer Science department, where I am supervised by Professor Nic Lane. As an undergraduate and master's student, I worked with Dr Robert Harle and Professor Cecilia Mascolo on two projects related to pervasive computation and wearable devices. Most recently, I worked at Facebook's London office during the summer of 2018.
PhD in Computer Science, 2023 (expected)
University of Cambridge
MEng in Computer Science, 2019
University of Cambridge
BA in Computer Science, 2018
University of Cambridge
Explored the viability of capturing internal body sounds with a wearable device for medical applications. This project involved the construction of wearable device (with specialised acoustic circuitry) which was used to collect a dataset; the experimental procedure was designed to evaluate performance during challenging user activities and acoustic conditions. Algorithms for continuous heart monitoring and asthma symptom detection are described and evaluated. It was shown that the algorithms could be run in real-time on plausible wearable hardware.
Supervised by Professor Cecilia Mascolo. Awarded “Highly Commended” dissertation prize by the University. Work from dissertation published at WellComp workshop at UbiComp 2020, winning best paper.