Summary
Wei Ma is a software engineer in California with 10 years’ experience applying advanced data analytics, machine learning, and uncertainty quantification to reservoir simulation and inverse modeling problems. With a PhD and MS in Petroleum Engineering and strong foundations in math and computational science from Peking University, he blends domain expertise with production engineering skills across Python, C/C++, FORTRAN, TensorFlow, Spark and parallel computing. He has moved between research and industry at organizations like USC, CGG and ByteDance, delivering data-driven optimization and Bayesian data assimilation solutions using commercial tools (ECLIPSE, Petrel) and modern stacks (MongoDB, Spark). Colleagues know him for translating complex geostatistical and UQ methods into scalable code rather than just prototypes, and for bringing academic rigor into fast-paced product settings. An understated detail: his GitHub bio hints at a dry sense of humor despite a deeply technical profile.
10 years of coding experience
14 years of employment as a software developer
Master of Science - MS, Petroleum Engineering, 4.0, Master of Science - MS, Petroleum Engineering, 4.0 at University of Southern California
Bachelor of Science (B.S.), Mathematics, Bachelor of Science (B.S.), Mathematics at Peking University
Chinese, English