My latest project was my master thesis at Aarhus University in collaboration with a danish mineral exploration company.
The project consist of systematically predicting a specific type of mineralization in a part of South East Greenland. This is achieved by combining geological field data with remote sensing data, such as Sentinel-1, Sentinel-2, aeromagnetic geophysical maps, gravity maps and structural geology maps. This data is then examined through multiple machine learning algorithms. The goal was to construct a model, capable of predicting mineralization in regions with no current geochemical data.
The thesis was presented and defended in June of 2019.
I'm a geoscientist with a broad spectrum bachelor and a more specialized masters degree within the physical sciences. Through my time at the university I have been enrolled in projects and topics such as:
GIS Software Application
Renewable Energy Sources
Geomodelling and inversion
Matlab and Python Programming
Satellite Mission Operations
Space Mission Design and Analysis
Satellite Construction and Software Programming