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Yu Shao earned his Ph.D. in Statistics at Boston University's Department of Mathematics and Statistics in May 2024. His research interests lie at the intersection of time series analysis, kernel-based nonparametric learning, and financial applications. Yu Shao's work includes developing advanced statistical methods for non-stationary time series and implementing novel techniques in semiparametric regression models. His notable contributions to the field are documented in publications in esteemed journals like Statistica Sinica. Beyond academia, Yu has honed his skills in the finance industry through internships at Stepstone Group and IMC Trading, where he applied his expertise in quantitative analysis and trading strategies.