I am a Senior Research Scientist in the Pervasive Systems Department at Nokia Bell Labs in Cambridge, and a visitor at the University of Cambridge. My research interests revolve around the architectural and algorithmic challenges of building practical wearable systems for human sensing, exploiting ultra-low-power machine learning techniques. In particular, I lead the team's efforts in earable computing (esense.io) and batteryless sensing. Furthermore, I serve as a committee member for leading mobile and sensor systems conferences and journals.
I am an experimental computer scientist driven by solving important problems with practical solutions, hence, my work always involves building end-to-end HW and SW systems and evaluating them in real-world deployments. I strongly believe in an interdisciplinary approach to research and I am always looking for opportunities to contribute to the development of new technologies.
I finished my PhD in Computer Science at the University of Cambridge (UK) under the supervision of Prof. Cecilia Mascolo. My PhD focused on wearable devices to study social dynamics. I also hold an MEng and a BEng cum laude in Computer Engineering from the University of Bologna (Italy).
During my studies, I have worked on a number of projects in diverse industries, including: wireless sensor networks at the ABB Corporate Research Center, privacy issues in the context of the Internet of Things at Nokia Bell Labs, and Internet of Things applications at ARM. I was also a Research Assistant at the University of Cambridge working on optimising drone surveying flight paths using onboard context sensing and computation.