I'm a third‑year MSci Physics with Medical Physics student at UCL. My time in London (and beyond) has exposed me to a wide range of experiences in applied and computational physics. I am deeply grateful to UCL for the full scholarship that has made my studies possible, and I also acknowledge my faith as a central source of motivation and support throughout this journey.
My highlights include:
- Institute of Cancer Research (2026) – Selected out of 700 applicants to become a Research Scholar under the Radiotherapy Physics Modelling team, where I will build a patient specific AI model to estimate 3D abdominal motion from 2D MRI for cancer radiotherapy.
- NTU Singapore (2026) – Selected to represent UCL as a summer exchange student.
- Rosalind Franklin Institute (2025) – Worked with the Artificial Intelligence Department to predict cancer‑linked DNA using machine learning. This was my first summer internship experience with a national lab (based in Oxford), and our work was selected for an oral talk at the University of Cambridge (Robinson College) for ISCB‑UK 2026.
- Lung MRI Project – This was a group project in extracting Lung MRI waveforms. I designed a MATLAB pipeline to extract respiratory waveforms and compare manual, intensity‑based, and deformation‑based methods.
- CAMELS Cosmology Project – Astrophysics and Cosmology project, where I developed Convolutional Neural Networks architectures to infer cosmological parameters from 2D simulation images of the universe. By far, my best physics project to date.
And lastly, my first research project with Dr Ben Hall, which kickstarted my interest in computational biophysics, was centered on the computational modelling of cancer, particularly Fumarate Hydratase (linked to renal cancer). I worked on reconciling mutation predictions from different models (biophysical vs statistical).