Ao Cai

Ao Cai has a strong background in geophysics and machine learning, with experience as a Machine Learning Engineer Intern at Schlumberger, where comparative studies of Generative Adversarial Networks for seismic impedance inversion were conducted. At Chevron, Ao Cai held roles as an Earth Science - Machine Learning Intern, focusing on shallow hazards detection using 3D convolutional neural networks, and as a Technical Geophysicist, developing and maintaining proprietary scientific computing software and AI models for geophysical applications. Currently, Ao Cai serves as a Research Scientist at Meta, optimizing Ads ranking machine learning models. Educational qualifications include a Bachelor's degree in Geophysics from the University of Science and Technology of China, an exchange year in Physics at Georg-August-Universität Göttingen, and a Ph.D. in Geophysics from Rice University, graduating with a high GPA of 3.96/4.0. Additionally, Ao Cai has experience as a Teaching Assistant at Rice University.