Xiao Xu is a Ph.D. student in the Department of Industrial Engineering and Operations Research. His main research focus is graph analytics in economics and finance. Xiao studies interrelations between companies through the supply chain, partnerships, and market price correlations, utilizing graphical analytics tools and machine learning techniques.
He has been responsible for building and maintaining a backtesting platform on AWS to test the performance of portfolio selection strategies for various research projects. He is also broadly interested and actively involved in projects on the application of natural language processing and deep learning in finance. Xiao graduated magna cum laude in 2016 from Columbia University with a bachelor's degree in financial engineering.