Tom Horrocks

Tom Horrocks is a Senior Research Fellow at the School of Earth and Oceans, University of Western Australia (UWA). He holds a dual degree in Engineering (Software) and Science (Physics/Applied Mathematics) from UWA, complemented by a research-focused doctoral program supported by the Robert and Maude Gledden Scholarship. His work bridges machine learning with geoscience challenges, focusing on predictive modeling, data mining, and software engineering solutions for resource exploration.

Key research areas include machine learning applications in geophysics (e.g., neural networks for potential field modeling), hyperspectral imaging for mineral identification, and automated geological logging using FTIR spectra. His interdisciplinary approach often results in deployable software tools addressing real-world problems, such as the Rio Tinto Data Fusion project.

• Education:
  • Bachelor of Engineering (Hons) in Software, UWA
  • Bachelor of Science in Physics & Applied Mathematics, UWA
• Awards:
  • Nick Rock Memorial Prize (2018)
  • ASEG WA Branch Student Award (2015)
  • UWA Vice Chancellor’s Impact & Innovation Award (2015)

Current projects include the ChatGEO initiative for semantic document retrieval and collaboration with the Geodata Algorithms Team on predictive logging techniques. His research outputs span geostatistics, mineral exploration, and AI-driven geoscience solutions.

Tom has contributed to major grants totaling over 5 years, including partnerships with industry leaders like Fortescue Metals Group and the Geological Survey of Western Australia. His work is disseminated through high-impact journals like Scientific Reports and Ore Geology Reviews, reflecting a strong focus on both theoretical innovation and practical application.