Invite a researcher to inspire your students.
Target audience: high school students
Our geology staff at Curtin University are available to present on selected topics at your school.
Please see their research interests below and contact the speakers directly.
Aaron Cavosie – Geologist and planetary scientist whose research interests include studying meteorite impact craters in Australia and elsewhere, and how they affect Earth. He teaches igneous petrology – the process that makes volcanoes, granites, lava flows, and other cool rocks formed at high temperatures
Denis Fougerouse – Research interests cover several aspects including nanoscale geochemistry (really small observations), ore deposit research (economically juicy), and geochronology (finding the age of rocks and minerals).
Fred Jourdan – Researcher and director of the Western Australia Argon Isotope Facility laboratory (they date rocks). His research interests cover all areas of argon geochronology and isotope geochemistry applied to a variety of geological processes. Other interests include volcanology and impact cratering processes on Earth, the moon, Mars and the asteroid belt. He is also involved in understanding the role of massive eruptions and large impact on mass extinctions.
Hugo Olierook – Has broad expertise in tectonics, mineral systems, geochronology, isotope geochemistry and basin analysis. His primary focus is designing, executing and managing geochronology and geochemistry projects for the mining and mineral exploration industry.
Katy Evans – Geologist and geochemist whose research interests range from subduction zones to mineral systems to surface processes to formation and evolution of the Earth.
Milo Barham – A fossils- and sediments-enthused Earth Scientist interested in reconstructing how our planet’s surface and its environments have evolved through time and how these changes link to deeper Earth processes.
Taryn Scharf – PhD student within the Timescales of Mineral Systems research group. Her work applies geocomputing to the deconvolution of mineral grain histories. She uses statistical tools, in conjunction with deep neural networks, to quantitatively model the relationships between zircon shape and environmental factors.