Yuting Wei became the newest Stein Fellow in the Department of Statistics on September 1, 2018. Before coming to Stanford, Yuting completed her PhD in Statistics at UC Berkeley where she was advised by Martin Wainwright and Aditya Guntuboyina; she was also associated with the Berkeley Artificial Intelligence Research group. Yuting was an undergrad at Peking University in China, earning both a BS in Statistics and a BA in Economics. She has been a visiting student researcher with the Institute for Mathematical Research at ETH Zürich and the Department of Mathematics at City University of Hong Kong.
Yuting is enthusiastic about understanding mathematical behavior underlying statistical procedures. In particular, her research interests include nonparametric and high-dimensional statistics, hypothesis testing, optimization and information theory. Recently, she joined her adviser Martin Wainwright and fellow student Fanny Yang to give the spotlight presentation at NIPS 2017, the 31st Conference on Neural Information Processing Systems held in Long Beach, from their paper "Early stopping for kernel boosting algorithms: A general analysis with localized complexities."