Euan Goodbrand

Machine learning at the limit

I am a Machine Learning Engineer at the Mercedes-AMG PETRONAS Formula One Team, with a passion for simulations, graphics, and visual effects. The scene behind this text is a live, decorative field — the same blend of motion, data, and engineering intuition that shows up in my work on and off the track.

Day to day I turn telemetry, simulations, and engineering data into systems that support decisions at trackside and in the factory — where lap-time margins are milliseconds and models have to be as disciplined as the car. That same appetite for rigorous ML, performance, and physics feeds how I think about graphics pipelines, procedural worlds, and numerical simulation outside F1.

Telemetry & sensor streams
Simulation & CFD adjacency
Model deployment
Latency-aware inference
Graphics & procedural modelling
AI, CV & NLP
Physics-based simulation
MSc AI & ML — Imperial

Recent Updates

Catch up with my latest adventures and career milestones.

23 June

Presenting at Sumo Digital

Jun 23, 2023

I had the privilege of presenting my thesis at Sumo Digital's Developer Conference. Engaging with industry veterans was enlightening!

17 July

First Class Honours from Sheffield

Jul 17, 2023

Graduated with First Class Honours in Computer Science from The University of Sheffield.

30 Sept

New Adventures at Imperial College London

Sep 30, 2023

Embarked on my MSc in Computing at Imperial College London, specialising in AI and Machine Learning.

01 Sept

Joined Mercedes-AMG PETRONAS F1 Team

Sep 01, 2024

Started my role as an ML Engineer at the Mercedes-AMG PETRONAS Formula One Team, applying machine learning to the cutting edge of motorsport.

Portfolio

Projects shown as a graph — nodes that share a discipline are connected. Hover for details, click to open. Use the filters to highlight a cluster.

Get in touch

LinkedIn GitHub London, UK