Peter Hurley is a Senior Data Scientist in AECOM's Digital Environment team, where he develops machine learning solutions for environmental domains. He has co-authored over 30 applied machine learning publications spanning fields including astrophysics, neuroimaging, and environmental science.

At AECOM, Peter leads the development of data models and optimization tools for EcoUplift, AECOM's natural capital assessment platform. His recent work includes developing pipelines for species connectivity modelling and deploying them at scale and is currently developing Large Language Model agent-based approaches to assist teams throughout AECOM's Environment group.