Theoretical Physics & Scientific Computing
Radin Rassouli
MSc graduate in Quantum Fields & Fundamental Forces
Alternative gravity, black-hole dynamics, Monte Carlo modelling, uncertainty analysis, and technical automation.
I work across theoretical physics, computational modelling, and technical systems. This site brings together research on gravity and cosmology, projects in simulation and forecasting, and applied work in Python, data handling, and automation.
Current Structure
How the work is organised.
Research, modelling, and delivery are treated as one connected profile rather than separate tracks.
The research side centres on alternative gravity and cosmology, relativistic motion in strong-gravity settings, and mathematically intensive modelling built from first principles.
The same approach carries into projects in Monte Carlo simulation, uncertainty analysis, time-series forecasting, CAD prototyping, and production-facing Python workflows.
Featured Work
Selected work worth opening first.
A short route into the research profile, computational projects, and applied technical work.
Pursuit of Time in DBI, Cuscuton & Bimetric Theories.
An independent MSc research project on alternative gravity and cosmology models, focused on differential geometry, PDEs, and numerical testing of theoretical predictions.
Monte Carlo simulation of X-ray photon transport.
A stochastic model of photon-matter interactions spanning sampling, material absorption, statistical error, and radiation transport.
Document processing automation at SCIRIS.
A Python workflow using Azure Document Intelligence and Azure OpenAI to retrieve, extract, interpret, and structure information from varied documents.
Selected Highlights
Fast context for new visitors.
A compact overview of training, research range, and technical strengths.
First Class BSc in Physics at Royal Holloway, followed by the MSc in Quantum Fields & Fundamental Forces at Imperial College London.
Master's thesis work in alternative gravity, final-year work on particle motion near black holes, and Monte Carlo modelling of X-ray transport.
Experience in radar-altimetry uncertainty analysis, greenhouse gas forecasting, and AI-assisted document automation.
CAD enclosure design, Raspberry Pi hardware builds, and iterative 3D-printing workflows developed through personal prototyping projects.
Short Biography
Background and direction.
A concise overview of the academic path and the practical side of the work.
My background combines mathematical and theoretical physics with hands-on design, modelling, and prototyping. I am most comfortable working from first principles: isolating the structure of a problem, translating it into a quantitative model, and then testing it with code, data, or experiment-facing workflows.
Alongside research and software, I have spent years working with 3D printers, Raspberry Pi systems, and small embedded builds, which has made engineering constraints and implementation details a natural part of how I think.
Contact
Research, projects, and professional enquiries.
Email is the most direct route for collaboration, technical work, or general contact.
Contact details, CV information, and professional background are collected on the About page.