Machine Learning | Experimental Design | Earth Sciences
I am a Computational Geoscientist passionate about advancing Earth Sciences and exploring AI's transformative potential. As a researcher, I specialize in data science techniques using Python programming to extract valuable insights from geospatial data.
Contact me if you want to discuss a project or collaborate on one involving the application of Machine Learning in the geosciences.
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Comparing Well and Geophysical Data for Temperature Monitoring within a Bayesian Experimental Design Framework https://doi.org/10.1029/2022WR033045
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A new framework for experimental design using Bayesian Evidential Learning: the case of wellhead protection area https://doi.org/10.1016/j.jhydrol.2021.126903 Linked repo: skbel
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A new workflow to incorporate prior information in minimum gradient support (MGS) inversion of electrical resistivity and induced polarization data. https://doi.org/10.1016/j.jappgeo.2021.104286 Linked repo: MGS-public
