Claire Heaney

Claire Heaney is an Eric and Wendy Schmidt AI in Science Postdoctoral Fellow affiliated with both Imperial-X and the Department of Earth Science & Engineering within the Faculty of Engineering at Imperial College London. Her research focuses on applying advanced machine learning techniques to complex scientific problems in environmental and computational physics.

Research Interests:

• Reduced-Order Modelling
• Machine Learning for Scientific Applications
• Urban and Environmental Flows

Scientific Contributions: Claire's work demonstrates expertise in:

• Neural network-based solutions for partial differential equations
• Hybrid physics-ML models for environmental systems
• Uncertainty quantification frameworks
• Mesh adaptation techniques for improved computational efficiency

Her research spans multiple disciplines including applied mathematics, computational fluid dynamics, and nuclear engineering.

Scientific Awards:

• Co-author of one of Wiley's top cited articles (Jan 2021 - Dec 2022)
• Recipient of the prestigious Schmidt AI in Science Postdoctoral Fellowship

Collaborative Research: Claire works at the intersection of earth science and engineering, collaborating across disciplines to develop AI solutions for environmental challenges. Her current research investigates the use of green infrastructure to mitigate air pollution in urban environments.