Personal & Career Background

What first sparked your interest in the mining industry?

My interest in the mining industry was sparked by a career transition after migrating to Australia in 2005. Prior to that, I had spent over a decade working in the petroleum sector, focusing on geostatistical reservoir characterisation. That shift from petroleum to mining opened up new dimensions of applied geostatistics for me and ultimately shaped the direction of my career.

Can you walk us through your career path and how you ended up at Datamine?

After relocating to Australia, I joined Snowden Mining Consultants. That role allowed me to apply my geostatistical expertise to mineral resource estimation and was a pivotal moment in my career. Over the years, I worked across several mining consultancies, expanding my experience across a variety of commodities and deposit types.

In 2016, I transitioned into research by joining CSIRO, where I focused on developing advanced geostatistical methods and tools for the mining sector. Though I valued the research environment, I missed consulting and returned to Snowden in 2019 for five fulfilling years. In 2024, I took on a new role at Datamine as Principal Geostatistician, where I continue to support mining companies with technical excellence.

Was there a defining moment that confirmed mining was the right industry for you?

Yes. Early in my mining career, I saw how the models I developed were being used to make real, operational decisions. It was a powerful moment that made me realise the tangible value of my work.

Your Role & Expertise

What is your area of expertise, and how do you use it in your role at Datamine?

I specialise in resource estimation and the application of advanced geostatistical techniques, such as multivariate simulation, uniform conditioning, and non-linear geostatistics across various commodities and mineralisation styles.

At Datamine, I support clients by delivering high-quality consulting services and developing customised modelling solutions. I also design and facilitate geostatistical training courses globally, helping clients build internal capabilities and improve their practices.

How would you explain your role to someone unfamiliar with the mining tech space?

I help mining companies make the best possible decisions using incomplete data. Through mathematical and statistical techniques, I build 3D models of what lies beneath the surface based on drill hole samples. These models inform critical decisions about mine planning, investment, and risk.

What do you enjoy most about what you do?

I love working with clients to solve real-world challenges and sharing knowledge through training. Seeing clients apply what they’ve learned and improve their operations is fulfilling. I also enjoy contributing to R&D by writing articles and exploring new techniques. This balance between consulting, teaching, and research keeps my work exciting.

Challenges, Projects & Learnings

What has been the most challenging project or client engagement you’ve worked on?

One of the most demanding projects involved balancing tight deadlines and shifting priorities while maintaining technical quality. It required constant communication, adaptability, and focus, but ultimately led to strong results and a satisfied client.

What’s a professional milestone or achievement you’re especially proud of?

It was a significant achievement to help a client simulate a large orebody for a drill hole spacing and risk study. The project provided clear insights into the trade-offs between cost and estimation accuracy, supporting informed decision-making.

What’s been your biggest learning curve while working in the mining industry?

Transitioning from academic models to practical, operationally relevant tools was a major shift. I also learned the importance of communicating technical concepts clearly to non-specialist stakeholders.

Perspectives & Reflections

How has the mining industry evolved since you started—and how have you adapted?

The industry has shifted from traditional, deterministic modelling to data-driven, collaborative practices. There is now more focus on automation, uncertainty quantification, and ESG considerations. I’ve embraced these changes by continually learning and adopting new technologies.

What advice would you give to someone just starting out in this field?

Stay curious, build a solid technical foundation, and learn from experienced mentors. Real-world exposure is key to mastering geostatistics.

What keeps you motivated and passionate about your work?

Applying mathematical and geostatistical models to real industry problems keeps me engaged. There’s always something new to learn or improve.

Fun & Forward-Looking

If you weren’t in mining, what career could you see yourself in?

I would have been a fighter pilot! I’ve always been fascinated by jets and high-performance machinery.

What’s one myth about mining you’d love to bust?

That mining is purely destructive. In truth, it’s essential to modern life and the energy transition. Responsible mining enables technological advancement and sustainability.

What excites you most about the future of mining and technology?

The fusion of data science, machine learning, and modelling is revolutionising our understanding of the subsurface. These tools are enabling smarter, faster, and more responsible decisions.