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Adrian Barfod

PhD Geofysik & Geostatistik, Postdoc, Ekstern vip

Data-driven problem solving is my passion. During my time as a Geology student I gravitated towards working with data, coding and computer modeling. My experience as a Ph.D researcher gives me a broad palette of generalized data science tools which I, during my Ph.D, applied to exploring and securing clean drinking water.
Adrian completed his Ph.D in geophysics and geostatistics in August 2017. During his Ph.D he worked with 3D stochastic modelling, data science, geostatistics, stochastic modelling insecurity, mapping ground water, hydro-geologic modelling and computer vision. This has given him a broad knowledge in the area of data science and geophysics.
His primary research interests are the sustainable management of the subsurface resources and protection of our drinking water resources. Adrian researches how to use Machine Learning and Data Science methods to improve the way we deal with the massive amount of geophysical data collected when investigating the subsurface.


2019-2022Electrical & Computer Engineering, Department of Engineering. Post Doc, Geophysical Instruments & Signal Processing
2018-2019Hydrogeophysics Group, Department of Geoscience, Aarhus University. Post Doc, software developer
2013-2017Department of Geoscience, Aarhus University and Geological Survey of Denmark & Greenland (GEUS). Ph.D. Geophysics / Geostatistics.
2012-2015Department of Geoscience, Aarhus University. M.Sc. Geophysics
2009-2012B.Sc. Geology

Employment Record

2018-NowHydroGeophysics Group (HGG), Aarhus University. Post Doc; Developing Delphi software for a number of geophysical instruments at HGG (e.g. GCM, tTEM, and MagLog).
2013-2017Geological Survey of Denmark and Greenland (GEUS) and Institute of Geoscience, Aarhus University. Ph.D. student; Thesis title: “Investigating lithological and geophysical relationships with applications to geological uncertainty analysis using Multiple-Point Statistical methods”.
2012-2013Geological Survey of Denmark and Greenland (GEUS). Student assistant at GRUK, upload of seismic data from before 2009 guidelines on uploading seismic data to GERDA.
2009-2010Rambøll. Field assistant; collection of land seismic data, and localising and surveying boreholes from JUPITER.

Key Competencies

Numerical modelling, Statistics, Big data, Data science, Data analysis, Databases, firebirdSQL, mySQL, Python, MATLAB, Delphi•C++, Machine Learning, Neural Networks, 3D voxel modelling, Geophysics, Stochastic modelling, Monte Carlo

Selected Experience Record – Management of Research Projects and Assignments

2016Stanford University, Palo Alto, California. Visiting Student Researcher at Stanford Center for Reservoir Forecasting (SCRF), collaborating with Professor Jef K. Caers for a full semester (6 months)
2015ASEG-PESA conference, Perth Australia. Received Best Student Poster award
2015Aarhus, Denmark. Responsible for handling, describing and uploading drilling cores to national borehole database (JUPITER) in relation to the HyGEM drilling project
2014European Geophysical Union (EGU), Vienna Austria. PICO presentation

Personal interests

In my spare time I like to climb, both bouldering and sports climbing, and occasionally I participate in bouldering competitions. Furthermore, I enjoy socialising with friends and colleagues. Although I have grown up in Denmark I have a multicultural background with a mother from the USA and a father from Denmark