Soham Sheth

Soham Sheth is a software engineer at Schlumberger, where they are involved in next-generation simulation technologies with a primary focus on high-performance computing and machine learning for simulation projects, including unconventional energy sources. Soham previously worked as a scientific computing software engineer and data scientist at Schlumberger, contributing to machine learning solutions and numerical modeling of advanced physics. They have also held various roles in reservoir engineering and simulation, including internships at GAIL (India) Limited, Total, and as a graduate research assistant at the University of Tulsa. Soham earned a PhD in Petroleum Engineering, specializing in Reservoir Simulation Technologies from the University of Tulsa.