Cheng Cheng

Cheng Cheng is a Machine Learning Software Engineer at Meta, specializing in Graph Learning Systems for AI-driven monetization, and has been developing advanced technologies for sequence modeling and user understanding since June 2022. Prior experience includes a role as a Machine Learning Data Scientist at TGS, where Cheng developed deep learning algorithms for seismic data denoising and collaborated on deploying these models in production. Cheng's background also features positions as a Geophysical Software Engineer II at TGS, focusing on high-performance computing and depth imaging technology, as well as roles in geophysical software development and data analysis at Aramco, ConocoPhillips, PGS, and TotalEnergies. Academic credentials include a PhD in Applied Geophysics from the University of California, Berkeley, complemented by a Master's degree in Geological/Geophysical Engineering from the Chinese Academy of Sciences and a Bachelor's degree in Geophysics and Seismology from the University of Science and Technology of China.