Moke Mao

Moke Mao is a highly skilled professional with a background in materials science and extensive experience in data science and software engineering. Moke developed a Python package for particle tracking in atomic force microscopy data at the University of Washington and worked on generating scenarios using Generative Adversarial Networks for solar and wind power generation. Moke's expertise includes property prediction of ionic liquids using deep learning techniques. Currently, Moke serves as a Software Engineer III at Google, focusing on Kubernetes threat detection, and has previous experience as an Applied & Data Scientist at Microsoft and as a Research Intern at Alibaba Group. Moke holds a Ph.D. in Materials Science from the University of Washington and a Bachelor's degree from Hunan University.