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Data Scientist, Global Capital Allocation Project

Max Feng

Max Feng is a Data Scientist for the Global Capital Allocation Project. Before this role, he was a research engineer at the Stanford Digital Economy Lab, working on research projects related to AI and the future of work. Max previously served as the Principal Machine Learning Engineer at the Bank of New York Mellon Innovation Center, as a Quantitative Software Engineer for Financial Engines, and as a Senior Software Engineer for Nike. He is passionate about leveraging artificial intelligence and machine learning technologies to find innovative solutions to challenging problems. Max has a bachelor’s degree in Electronics and Information Systems from Zhongshan (Sun Yat-Sen) University, Guangzhou, China.


 

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