Paul Gu

Paul leads the product and data science teams at Upstart. Paul pioneered Upstart's statistical models to predict income and employment. He has a background in quantitative finance and built his first algorithmic trading strategies on the Interactive Brokers API at the age of 20 (achieving a Sharpe of 2.03) and previously worked in risk analysis at the D.E. Shaw Group. During college, Paul led underwriting for two non-profit microlenders in the U.S. He has been recognized as one of Peter Thiel's 20 under 20 Fellows, Forbes 30 under 30, and Silicon Valley Business Journal's 40 under 40. Paul studied economics and computer science at Yale University.