Yu Yue

Yu Yue is a Professor at the Zicklin School of Business, Baruch College, The City University of New York, in the Paul H. Chook Department of Information Systems and Statistics. He holds a PhD and MA in Statistics from the University of Missouri, Columbia, and a BS in Statistics from Shanghai University of Finance and Economics. His research focuses on Bayesian statistics, nonparametric regression, spatial statistics, quantile regression, and functional data analysis.

His recent publications include innovations in

• Bayesian trend filtering for neuroimaging data
• spatio-temporal modeling of muscle activity
• adaptive smoothing techniques for fMRI analysis

with applications in neuroscience, public health, and computational statistics.

Scientific Awards

• Teaching Excellence Award (Zicklin School of Business, 2011)
• Eugene M. Lang Junior Faculty Research Fellowship (Baruch College, 2012)
• SAMSI workshop travel awards (2009, 2014, 2017)
• R. L. Anderson Award (Southern Regional Council on Statistics, 2007)
• G. Ellsworth Huggins Fellowship (University of Missouri, 2003)

He has advised PhD students Bin Ma (2016-2017) and Zhu Zhu (2015-2016) and received grants from PSC-CUNY and Indiana University for Bayesian modeling of neuroimaging data and statistical methods development.