Guillaume Barnier

Guillaume Barnier is a Solutions Architect specializing in Energy and AI at NVIDIA. With a strong background in seismic imaging and machine learning, they previously contributed to Chevron and Total as a Seismic Imaging Research Analyst, enhancing methods for subsurface oil reserve assessment and reservoir characterization. At Stanford University, Guillaume undertook extensive research in geophysics, culminating in a Ph.D. that included modeling tsunami wavefields and winning an award for best paper at the Society of Exploration Geophysicists annual meeting. Their academic journey also includes master's degrees from Télécom Paris and the Colorado School of Mines. Currently, they are focused on developing machine learning solutions in the healthcare sector.