01 / Method
Computational by default
If a problem can be modelled, simulated, or automated, it should be. Code and numerics are the first tools I reach for.
About
Engineer, across disciplines.
Mohammad Ghaffari is a multidisciplinary engineer based in Sydney, Australia. He works across fluid mechanics, fire safety, and machine intelligence.
The work spans research-grade numerical solvers, performance-based fire engineering on real buildings, and the software that turns hard methods into usable tools. Different domains, one approach: make it computable, ground it in physics, and build it to work.
Across each field the common thread is the same — rigorous, computational thinking applied to problems that matter.
The throughline
One way of thinking, applied broadly.
It started with fluid motion and numerical methods — turbulent flows, high-order solvers, and the maths of how things move and transfer heat.
That same modelling instinct carried into fire safety and real buildings — predicting smoke, heat, and how people move to safety under performance-based design.
And now into machine learning and AI — systems that find pattern and prediction in data. Three domains, connected by one engineering mind.
How I work
Principles that hold across fields.
02 / Foundation
Physics-grounded
Models earn trust by respecting the underlying physics. I work from the equations up, not from black boxes down.
03 / Output
Build, don't just analyse
Analysis matters, but the goal is something that works — a solver, a strategy, a tool other engineers can use.
04 / Practice
Clarity in communication
Complex engineering only lands if it is explained clearly. I translate technical depth into decisions people can act on.
Quick facts
The essentials.
- Sydney
- Based in
- BSc · MSc · PhD
- Education
- Python
- Primary language
- MATLAB
- Numerics
- Fortran / C++
- Solvers
- Arup
- Currently at