Hi,

You can reach me at jb2328 [at] cam [dot] ac [dot] uk

I am currently a PhD student at the Department of Computer Science and Technology (Computer Lab), University of Cambridge. My primary interests span sensor-network-enabled edge AI, digital twins, and interaction design.

The topic of my doctoral project is Digital Twins: From Sensor Design to Real-time Data Visualization. My thesis is that digital twin deployments can be substantially improved by addressing the needs of different user segments, especially regarding the utilisation of sensors, creation of data visualisations, and management of time-critical events.

My previous research experience includes working in the Computer Lab's Systems Research Group (2019-2022) and UCL Interaction Centre (UCLIC, 2019-2020), as well as a summer placement at the York Cross-disciplinary Centre for Systems Analysis (YCCSA, 2018).

My other professional experience includes working as an Applied Science Intern at Roku and as a Machine Learning Architect at InferSens. At both companies I developed embedded machine learning models for edge devices. Together, this work spans systems, machine learning, and HCI.

When I'm not in the lab, I'm usually running 🏃‍♂️, swimming 🏊‍♂️, or cycling 🚴‍♂️ as I train for endurance events, having already participated in the Cambridge Boundary Run 42km, UTMB Verbier 50K, and Trail Kursiu Nerija 43K.

2025🤞
PhD Computer Science, University of Cambridge.
Thesis: Digital Twins: From Sensor Design to Real-time Data Visualization
Computer Lab Rainbow & Systems Groups

2022
MRes Sensor Technologies, University of Cambridge.
Dissertation: Detecting CO2 Accumulation in Shared Spaces
Computer Lab Rainbow & Systems Groups

2019
BASc Sciences and Engineering, University College London.
Dissertation: Stressed out Millennials and Wearable Devices
The Bartlett Centre for Advanced Spatial Analysis (CASA)