
ML for Active Noise Control
A poster investigating machine learning architectures in the context of nonlinear systems.
* 1st Place Poster at the Cambridge University Engineering Department Division C Graduate Conference 2025.
PhD Student, Cambridge University Engineering Department
Researching hybrid physics/ML models for active noise cancellation in nonlinear systems.
I am part of the Dynamics and Vibration Research Group (DVRG) at Cambridge University Engineering Department, supervised by Dr Tore Butlin and Dr Ole Nielsen (Bose Corporation, who are funding the work).
Before this, I completed my MEng and BA at Magdalene College, Cambridge, where I am a Senior Scholar and continue to supervise students in Mechanics.
I am particularly interested in dynamics, vibration, control, acoustics and physics-informed machine learning. My Master's degree focused on Mechanical and Information Engineering, including nonlinear vibration, numerical simulation, and practical experiments.
Here is a growing list of my previous academic work:
A poster investigating machine learning architectures in the context of nonlinear systems.
* 1st Place Poster at the Cambridge University Engineering Department Division C Graduate Conference 2025.
My MEng Project investigated bounds on energy harvesting devices, aiming to show that a rotational component could help improve performance. This involved verifying a numerical model against a practical piezoelectric rig.
A Third Year 'Bicycle Design' project aiming to practically determine and model the parameters of mountain bike suspension on terrain of varying roughness and technicality.