Senior Data Scientist and AI Research Expert with a focus on practical, effective solutions to complex problems.
Investigated the application of machine learning techniques to analyze arterial pressure waveforms, establishing the theoretical foundation for non-invasive blood pressure estimation and improving commercial diagnostic systems.
Developing a revolutionary platform that formulates plant-specific nutrient solutions at 90% cost reduction through mathematical optimization and AI assistance.
Pioneered a cost-effective fall detection system by modifying commercial camera firmware and implementing a hybrid edge-cloud architecture with Vision Language Models.
Led the technical development of an AI-powered fall detection system using computer vision technology deployed on edge devices (eg. Raspberry Pi).
Developed database integration solutions for CQ University's student enrollment prediction system, creating data pipelines between SQL databases and machine learning models.
Developed mathematical models quantifying player contributions to game outcomes, built organizational analytics platforms, and created comprehensive player evaluation systems during the club's rise from last place to second within three years.
Developed foundational statistical models for player evaluation while studying medicine, creating metrics to identify talent and support recruitment strategies.
Developed innovative research concepts including retinal vessel analysis for cardiovascular diagnostics and advanced athlete tracking systems, securing project funding through academic partnerships.
Applied data science at FIFA-accredited sports medicine hospital in Qatar, analyzing physiological data in extreme environments, developing early computer vision systems for athlete tracking, and creating mathematical models for physiological monitoring.
Designed electronic hardware and firmware for ECG devices and telemetry systems at an early-stage medical technology startup that later became publicly listed as Ventracor.
Designed hardware systems and firmware for power station simulators used in operator training, creating interface boards with analog/digital I/O capabilities and programming 8051 microcontrollers.
Selected as one of only two Australian graduates to work on advanced aerospace sensing systems, designing hardware and firmware for fuel measurement systems and performing mathematical modeling of microwave-based tyre temperature sensors.
Email: [email protected]
Location: Calamvale, QLD, Australia