William Reynolds

Member since 2024

Occupation: Senior Machine Learning Engineer at PhysicsX

It's important to me that young engineers have representation in institutions and policy, which has not historically been the case.


William Reynolds is a simulation engineer, coding digital twins of real-world objects or systems, to rapidly evaluate and improve them. Will studied engineering at the University of Cambridge and has since worked within a variety of different companies and industries, including McLaren Racing on F1 simulators and sports wearables, Babylon Health on healthcare apps, and in various startups on medical imaging and industrial greenhouse control. Will is currently focused on speeding up slow, classical simulation techniques using machine learning techniques at PhysicsX. Over the years, he has also become a Chartered Engineer and a Fellow of the IET.
Will’s spare time is spent climbing, spotting cute dogs in the street, and creating escape room puzzles.


  • ‘Green’ energy
  • AI (Artificial Intelligence) and data
  • Climate change
  • Engaging under-represented audiences
  • Long-term health conditions
  • Misinformation and disinformation
  • Open data
  • Public Health messaging
  • Sustainability
  • Young women in STEM