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. 

2025/2026 UWA Data Institute Summer Research Project Grant, $8,000 Integrating Structural MRI and Cognitive Assessments for Alzheimer’s Disease Progression Prediction. 

Charlies Foundation for Research Bright Ideas Grant $9,999, Exploring the Implementation Feasibility of an Integrated Radiation Oncology Real world Data Clinical Quality Registry using Automated Processing. 

UWA Rolling Research Infrastructure Fund, $98,983, Critical Modernisation of Kaya’s Computational Support for AI Research 

Critical Technologies Challenge Program Round 2 - Stage 1 Feasibility, $432,453, Quantum-Enhanced Medical Imaging Diagnostics for Remote Communities 

Future Health Research Innovation Fund: WA Near Miss Awards (Ideas Grant), $100,000, Advancements in Glioblastoma Management: From Radiomics to Clinical Integration 

Future Health Research Innovation Fund: Innovative Solutions – Digital Health, $361,146.2, Clinical Evaluation of Artificial Intelligence for Identification and Prognosis in Metastatic Prostate Cancer 

2024/25 BCG.X UWA Data Institute Summer Research Project Grant, $8,000, Predicting Alzheimer's with AI: A Biomedical Image Analysis Approach.  

Royal Perth Hospital Radiology Research Grant, $80,000, An open-source framework for robust, automated development of radiomics models in glioblastoma.  

Innovation Challenge 2023 – Generative Artificial Intelligence Applications, $38,805, Conversion between brain cancer imaging modalities using generative AI  

2023/24 BCG.X UWA Data Institute Summer Research Project Grant, $8,000  Machine Learning and Radiomics for Patient-level Prognostication In Metastatic Prostate Cancer 

2023/24 Charlies Foundation for Research Discovery Grant Funding, $27,000 Applied Artificial Intelligence for Prognosis and Automatic Segmentation In Oncology