Alec Yiu

Alec Yiu
Email | LinkedIn

I am an AI Engineer at Williams F1 Team in Formula One.

My work span across multiple research domains on Physics - AI - Vision, World Models, Aerodynamics, Thermodynamics, and Vehicle Dynamics.

My MEng in Aeronautical Engineering specialised in AI for Engineering at Imperial College London Department of Aeronautics was advised by Prof. Francesco Montomoli.

Latest Research

World Model Drift Detection in Multiplayer Environments: A CLIP-Based Approach
Alec Yiu, Ryan Po · Stanford University, 2026
[blog]

Experiences

Williams F1
AI Engineer, Williams F1 Team (Current)
  • Building for vehicle dynamics, aerodynamics, and real-time simulation
  • Develop AI models including real-time, edge inference applications
Jaguar Formula E
Data Science Engineer, Jaguar Formula E
  • Physics-informed ML models for thermodynamics, motor-generator systems, battery systems, vehicle dynamics and aerodynamics
  • Integrated predictive models into real-time Driver-in-the-Loop (DIL) simulators under strict latency constraints
  • Part of the 2024 FIA Formula E World Championship winning team

Patent

Formula E Powertrain
Machine Learning Model for Temperature Prediction on Electric Motor-Generator
Application title: Method and apparatus for temperature prediction
Filed in the United Kingdom

Research

Wind Farm Layout Optimisation
Wind Farm Layout Optimisation with Genetic Algorithm
Master's Thesis
  • Developed a modular ML algorithm to optimize wind farm turbine placements using Genetic Algorithms, maximizing Annual Energy Production (AEP) and minimizing Levelized Cost Of Energy (LCOE)
  • Integrated wake, power production, wind data analysis, and cost models, validated against London Array, Dudgeon, and Humber Gateway wind farms
  • Applied to Westermost Rough wind farm, demonstrating layout performance enhancements