Education & Professional Experience

Taylor has studied at Stanford University in Geophysics between 2012 and 2019, then at Stanford University in Geophysics between 2012 and 2015, then at in Civil Engineering between 2010 and 2012.

Taylor worked for Stanford Exploration Project as Graduate Research Assistant: 3D reconstruction and inversion between Jul 2012 and Jun 2019, for Shell as Computational Modeling Intern: Deep Neural Networks between Jun 2016 and Sep 2016, for Shell as Geomatics & Data Management Intern between Jun 2015 and Sep 2015, for ConocoPhillips as Geophysical Research Intern between Sep 2014 and Dec 2014, for Berkeley Lab as Geophysical Research Intern between May 2011 and Aug 2011, for Peters & Ross as Geotechnical Engineering Intern between 2004 and 2010.

 Skills & Competences

Taylor has the following skills : Data Analysis, Matlab, Seismic Inversion, Statistical Data Analysis, Research, R, Data Mining, Seismology, Machine Learning, C++, Numerical Analysis, Python, Geophysics, Linux, Fortran, Seismic Imaging, Tomography, Physics, Earth Science, Scientific Computing.

Taylor graduated from the following courses : Machine Learning, Introduction to Computational Earth Sciences, Introduction to Machine Learning, Methods for Applied Statistics: Unsupervised Learning.

Taylor speaks the following languages : English.