Chief AI Officer, Neuroana
I'm passionate about machine learning and artificial intelligence. With 30+ years of experience developing software and 20 years in machine learning engineering, research and consulting, I've delivered projects in sectors including mining, health, environment, personal finance, and with a focus on tech startups.
I have a PhD in artificial intelligence and have spent several years teaching and lecturing at UWA. I love tackling complex problems and take a pragmatic approach, cutting through the hype to deliver cost-effective solutions.
At Neuroana, we believe artificial intelligence should solve real problems — not just generate headlines. Every engagement starts with understanding the business challenge first, then applying the right technology to address it.
The AI landscape is crowded with noise. We cut through the hype and focus on what actually works — delivering measurable outcomes over flashy demos. Every recommendation we make is grounded in decades of hands-on engineering and research.
From mining operations and healthcare systems to fintech platforms and environmental monitoring, our experience spans industries with vastly different constraints. That breadth means we bring proven patterns to new problems, adapting what works rather than starting from scratch.
Years of university lecturing and mentoring have shaped how we communicate complex concepts. We don't hide behind jargon — we explain our methods clearly, transfer knowledge to your team, and ensure every solution is understood and maintainable long after our engagement ends.