Experienced and highly numerate lead data scientist with a strong track-record of developing data-driven solutions to elicit deep insight and create high impact value for clients and colleagues. Strong team builder and player who thrives in collaborative and multi-disciplinary contexts. Confident at communicating with colleagues and stakeholders, both technical and non-technical, from 1-to-1 conversations to presenting at large conferences.
With more than a decade of experience of processing, analysis, computational & statistical modelling and simulation of seismic, reservoir, and other large datasets across a diverse range of geophysical and other settings, I am actively interested in the following kinds of opportunities, on both a consultancy and long term basis:
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Data Scientist & Machine Learning (permanent or on a consultancy basis)
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Projects involving designing innovative solutions to challenges associated with complex models and large datasets
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Exploring and applying methods, such as joint inversion, for the combination of different kinds of data to better understand the Earth and other systems
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University/other teaching in the mathematical earth sciences
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Mathematical consulting and tutoring
Particular specialities:
Bayesian statistics, data science, machine learning, seismic imaging, signal processing, university teaching & tutoring, presentation of results in papers and at conferences, collaboration with international partners.
Selected programming languages, technology and other experience:
Python, Scala, Spark, R, Perl, Fortran, C/C++, shell scripting, Matlab/Octave, GitHub, AWS, KNIME, Hadoop, SQL.
Machine Learning, agent-based simulation, population synthesis and routing engines.
Geophysical/spatial processing: Seismic Unix, GMT, Omega, GEM/IMEX/STARS, ArcGIS.