Phone: +1-720-838-1835 • Email: barnier@gmail.com • Website: gbarnier.github.io • GitHub: github.com/gbarnier
> Expert in machine learning, scientific computing, and optimization of large-scale nonlinear inverse problems
> Strong interest and knowledge in reinforcement learning algorithms
> Excellent high-performance computing (HPC) skills with deep programming knowledge of graphics processing units (GPU) in C++/CUDA
> Won the 2019 “Best Paper Presented by a Student at the Annual Meeting” award from the Society of Exploration Geophysicists (SEG)
Stanford University, Ph.D. in Geophysics (GPA: 3.960) - Exp. 2021
Colorado School of Mines, MSc in Geophysics (GPA: 4.000) - 2013
Télécom Paris University, MSc in Electrical Engineering (GPA: 3.600) - 2007
ML coursework: Reinforcement Learning (CS 234), Deep Learning (CS 230), and Machine Learning (CS 229)
Mathematics coursework: Stochastic Processes (MATH 136) and Stochastic Differential Equations (MATH 236)
Programming: C++, CUDA, Fortran, pybind11, Unix, MPI, Dask, HTML, CSS
Deep Learning Frameworks: Python, PyTorch, NumPy, some use of Keras and TensorFlow
Deep Learning, Computer Vision, and Healthcare
Radiology and Neuroimaging Department, Stanford School of Medicine (Jan. 2021 - Present)
Research assistant (Prof. E. Tong)
> Initiated and led a project to predict brain tissue damage for ischemic stroke patients using deep supervised learning based on convolutional neural nets (CNN) and 4D computed tomography perfusion (CTP) data
> Developed an approach to bypass the use of costly and potentially unreliable commercial software packages
> Method may have profound impact on stroke imaging by improving diagnostic reliability and making CTP technique more widely available and equitable
Geophysical Seismic Imaging
Stanford Exploration Project, Stanford Department of Geophysics (Sep. 2013 - Present)
Doctoral Researcher (Prof. B. Biondi)
> Conceived innovative industry-impactful algorithm to produce accurate images of the Earth’s subsurface using seismic waves
> Created a new robust gradient-descent optimization scheme combined with the variable projection method to mitigate the presence of spurious local minima inherent to full waveform inversion (FWI), a challenging high-dimension prominent seismology problem
> Developed an industry-quality finite-difference code implemented in C++/CUDA using GPUs to enhance computational efficiency for large-scale 3D field applications (tens of terabytes of data)
> Successfully applied Ph.D. algorithm on a deep-water node-acquisition 3D field dataset from the Gulf of Mexico
> Co-led a team of students for the development of an advanced Python optimization library for solving large-scale inverse problems
Numerical Methods for Wave Propagation
Center for Induced and Triggered Seismicity, Stanford Department of Geophysics (Jan. 2015 - Jan. 2017)
Research assistant (Prof. E. Dunham)
> Developed an early-warning tsunami modeling and prediction algorithm using a data assimilation technique with Kalman filters
> Applied method to a 2D tsunami model based on dynamic rupture simulations of the 2011 Tohoku earthquake
> Accurately reconstructed tsunami wavefield prior to wave arrival at the coast
Self-Initiated Industry Partnerships
Nov. 2018 - Jan. 2021
Seismic Imaging Research Consultant
> Successfully approached and convinced management of three major oil companies to invest in personal imaging algorithm and deployed solution on companies’ computing infrastructures
BP America - Houston, TX, USA
Summers 2016 and 2017
Seismic Imaging Research Scientist
> Provided research team with expertise on personal Ph.D. project
> Deployed algorithm on BP’s HPC system
> Showed value and potential business impact for improving images in complex geological settings
Chevron - San Ramon, CA, USA
Jun. 2015 - Sep. 2015
Seismic Imaging Research Scientist
> Improved and applied a Bayesian geophysical uncertainty estimation technique based on the Metropolis-Hastings for oil reserve quantification
Total - Pau, France
May 2012 - Sep. 2012
Seismic Imaging Research Scientist
> Analyzed and identified an optimal reservoir-characterization solution (among three software packages) adequate to the team’s needs and budget, and convinced management committee to follow selection recommendation
J.P. Morgan - London, UK
Jun 2007 - May 2010
Fixed Income Hedge Fund Sales and Structurer
> Provided pricing, trade executions, and financial advice on interest rates derivative products to major investment firms including Pacific Investment Management Company (PIMCO)
> Took the initiative to develop a novel interest-rate swaps modeling code with improved flexibility and accuracy (compared to available commercial package), which became the team’s primary tool for asset pricing
Academics
2019 Award for Best Paper Presented by a Student at the Society of Exploration Geophysicists (SEG)
2013 Colorado School of Mines Mendenhall award for outstanding academic achievement
2012 Colorado School of Mines Hess Corp Fellowship
Trail-running
2018 First place overall, Spartan Race Diablo Grande Super Open
2018 First place overall, Inside Trail Pacifica Foothills Trail Half Marathon
2015 First place overall, Mount Diablo Coastal Trail Runs Half Marathon
French, English, Spanish (fluent), Hebrew (beginner), Bahasa Indonesia (survival level)