03 — Research
Working at the intersection of computational physics and applied mathematics — building numerical solvers, analysing observational data from the universe's most extreme events, and seeking a funded PhD.
I work at the intersection of computational physics and applied mathematics — building numerical solvers, implementing algorithms from scratch, and applying rigorous quantitative methods to real physical problems.
My current focus is astroparticle physics, specifically dark matter direct detection: modelling detector responses, signal-background discrimination, and the statistical inference problems underneath.
I am drawn to problems where computation is the tool that makes the physics legible — where a well-written solver reveals something true about the universe.
Codebase
Full collection of my computational work — numerical solvers, data pipelines, research implementations.
This repository contains the full body of my computational work — from numerical solvers and simulations to data analysis pipelines.
Rather than isolated projects, it reflects a continuous approach to problem-solving in physics: building tools that make complex systems tractable and measurable.
Projects include BSc and MSc thesis work, data-driven astrophysics, and ongoing research. Actively updated.
Gravitational Waves · LIGO
Data analysis and signal processing with the LIGO detector — searching for ripples in spacetime from the universe's most violent events. Signal-background discrimination and statistical inference.
Multi-messenger Astrophysics
Modelling and analysis of binary neutron star merger events — bridging gravitational wave astronomy with electromagnetic counterparts. One of the most energetic phenomena in the observable universe.
Stellar Surveys · Gaia
Working with Gaia's billion-star catalogue to explore galactic structure, stellar populations and astrometric precision — one of the richest datasets in the history of astronomy.
Infrared Astronomy · JWST
Analysis of JWST infrared imaging data — probing the early universe, star formation, and galaxy evolution at unprecedented resolution and depth.
MSc thesis at Imperial College London — computational modelling using finite element analysis with Firedrake (Python). Implemented multiple discretisation schemes with statistical convergence analysis and rigorous error quantification.
Built a complete FEM library from scratch: matrix assembly, sparse solvers, boundary condition enforcement, nonlinear iteration, and performance benchmarking. Full cycle: physical model → mathematical formulation → numerical implementation → validation.
Coursework spanning Advanced Quantum Mechanics, Dirac Notation, General Relativity, Group Theory, and Advanced Probability — building the theoretical foundation for computational research.
Seeking a funded PhD position in computational astroparticle physics or dark matter detection — ideally based in Germany or the Netherlands. I work independently, build things that work, and am drawn to groups doing rigorous, data-driven science at the frontier.
Modelling detector responses, signal-background discrimination, statistical inference for direct detection experiments.
Multi-messenger astrophysics, compact binary coalescence, data analysis pipelines for next-generation detectors.
Numerical solvers, machine learning applied to physics, simulation frameworks for astrophysical systems.