About

I am a second-year PhD researcher in the Department of Aeronautics at Imperial College London, where I also completed my MEng. My research develops data-driven frameworks to exploit underlying dynamics for energy-efficient design and control. This work sits at the intersection of dynamical systems, control theory, and machine learning.

Latest Paper: "Data-Driven Stabilisation of Unstable Periodic Orbits of the Three-Body Problem" published in IEEE Access. Read here →

My current focus is on leveraging the inherent sensitivity of chaos for low-energy stabilization and non-linear phenomena such as bifurcations and limit cycles. I am particularly interested in interdisciplinary applications, with ongoing work in spacecraft trajectory control, robotics, and fluid mechanics.

Recent News

Dec. 2025 New journal paper "Data-Driven Stabilisation of UPOs..." accepted at IEEE Access!
Dec. 2025 Talk as part of Control and Optimisation Seminar Series at Imperial College.
Sept. 2025 Presentation at ENUMATH 2025 as part of MS44 - Latent Dynamics: Learning, Simulation and Control
July 2025 Short research visit to Dr Jason Bramburger's group & presented my work on Three-Body Problem stabilization at SIAM Annual Meeting 2025 as an invited talk in MS16 Structure-preserving Data-driven Dynamics and Operator Learning, Montreal, Canada. Link
April 2025 Short talk at Euromech Colloquium on Data-Driven Fluid Dynamics, London.

Selected Publications

Education

2024 – Pres. PhD in Aeronautics, Imperial College London
2020 – 2024 MEng in Aeronautical Engineering, Imperial College London

Grants & Awards

July 2024 Old Centralians Travel Grant for research to Dr Jason Bramburger's group and talk at SIAM Annual Meeting in Montreal, Canada.
Oct. 2024 Engineering & Physical Sciences Research Council Scholarship for my PhD proposal on data-driven methods for chaotic dynamics, Imperial College London. (2024 – Present)