Auggie is a Schmidt AI in Science Fellow, developing and applying ML and AI methods to the seismic imaging of the Earth's deep interior.
Auggie obtained his PhD in Data Intensive Science at University College London, studying probabilistic inversion techniques to reconstruct seismic images of the Earth’s upper mantle and, looking beyond Earth, maps of dark matter around distant galaxy clusters. These methods, while computationally expensive, provide uncertainty information that is commonly lacking in other methods but is crucial for the scientific interpretation of the images.
Following his PhD, he spent two years as a postdoc at the Australian National University developing new methods to seismically measure the thickness of sediments at continental scales, and improving the resolution of mineral deposits for geophysical exploration. He then worked with the Earth Rover Program, which is pioneering the use of seismology and geophysics to study the health of soils in agricultural settings.
In 2025 he started his Schmidt AI in Science Fellowship using AI methods and seismic waves to understand the structure of the Earth's inner core.
