About

I am Guillaume Barnier, a French Ph.D. candidate in the Stanford Exploration Project (SEP) group, within the Department of Geophysics at Stanford University.
Under the supervision of Prof. Biondo Biondi, I design new seismic imaging algorithms to produce accurate maps the Earth's subsurface using sound waves. Have a look at the Geophysics tab!
In 2019, my friend and fellow student Ettore Biondi and I won the award for Best Student Paper Presented at SEG 2019 Annual Meeting for our work on seismic velocity model building.
Before joining the Ph.D. program at Stanford, I obtained my MSc from the Geophysics Department at the Colorado School of Mines where I used seismoelectric waves (electromagnetic waves induced by sound waves) to characterize petrophysical properties of hydrocarbon reservoirs (check out my MSc thesis).

In the last couple of years, I have become passionate about machine learning, especially reinforcement learning algorithms.
I initiated and led a project with the Stanford School of Medicine to predict brain tissue damage for stroke patients using deep supervised learning and computed tomography (CT). You can check out all the details here.
Recently, I have truly enjoyed some of Stanford's AI courses, which include reinforcement learning (CS 234), deep learning (CS 230), and machine learning (CS 229).
I am currently trying to define a project on reinforcement learning and will soon post my progress here, bear with me!

Prior to my Geophysics career, I was an investement banker and I worked for J.P. Morgan Global Markets in London from 2007 to 2010, selling and buying interest rate derivative products for hedge funds.

In my free time, I enjoy trail running, riding my road bike, doing CrossFit, and bascially anything that allows me to stay active! Surfing and traveling have always been an important part of my life, and allowed me to spend time in some amazing countries such as Indonesia, Morocco, Peru, Australia, and Mexico.
And if you are wondering, I took the above picture on the Escadaria Selarón in Rio de Janeiro, 🇧🇷.