• The University of Western Australia (M002), 35 Stirling Highway,

    6009 Perth


Calculated based on number of publications stored in Pure and citations from Scopus

Personal profile


Jake has completed a Bachelor of Science (majoring in Engineering Science and Pharmacology), a Diploma of Physics, a Masters of Physics (Medical Physics), and a PhD in medical physics. 

He has a strong interest in the utilisation of artificial intelligence (AI) and other computational techniques for the analysis of medical images in order to enhance a precision medicine approach to patient management. His research spans the use of AI for the automated detection of metastatic prostate cancer, radiomics for survival prognosis, and the derivation of imaging biomarkers with prognostic significance from molecular imaging modalities. 

Jake is a current lead and founding member of the UWA Machine Learning in Cancer Research group which provides students from a variety of fields with a forum to discuss their machine learning-related projects. This group was awarded the distinguished Award  for Programs that Enhance Learning by the School of Physics, Mathematics and Computing in October of 2022. Jake is also a member of the Australasian College of Physical Scientists and Engineers in Medicine (ACPSEM) AI Working Group, tasked with preparing the college for the expected professional changes resulting from the clinical implementation of AI-based solutions. 

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being

Research expertise keywords

  • Prostate Cancer
  • Artificial intelligence
  • Quantitative Imaging
  • Machine Learning
  • Medical Physics
  • Nuclear Medicine
  • Diagnostic Imaging
  • Radiomics


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Collaborations and top research areas from the last five years

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