B.S. in Probability and Statistics, Peking University, 2002
Ph.D. in Statistics, York University, 2010
Research Scientist - Climate Change Detection, Attribution and Projection, Nonstationary Time Series, Advanced Statistical Methonds in Climate Research
4905 Dufferin Street (Toronto, ON)
CURRENT S&T / RESEARCH - Contribute to the development and application of advanced statistical methods for analyzing climate data and to the understanding of the causes and projection of climate extremes at regional scales.
Wen, H. Q., X. Zhang, Y. Xu and B. Wang, 2013: Detecting human influence on temperature extremes in China. Geographical Research Letter, doi: 10.1002/grl.50285 (selected as an AGU Research Spotlight article).
Wen, H. Q., A. Wong and X. L. Wang, 2012: Overlapped grouping periodogram test for detecting multiple hidden periodicities in mixed spectra. Journal of Time Series Analysis, Vol. 33, Issue 2, 255-268, doi:10.1111/j.1467-9892.2011.00755.x.
Wen, H. Q., X. L. Wang, and A. Wong, 2011: A hybrid-domain approach for modeling climate data time series, Journal of Geophysical Research, 116, D18112, doi:10.1029/2011JD015850.
Zwiers F.W., Hegerl G.C., Zhang X. and Q.H., Wen, 2014: Quantifying the Human and Natural Contributions to Observed Climate Change In: Statistics in Action: A Canadian Perspective [book in conjunction with the Int. Year of Statistics), CRC press.
Zhou, Botao, Q. H. Wen, Y. Xu, L. Song, and X. Zhang, 2014: Projected temperature and precipitation extremes in China by the CMIP5 Multimodel Ensembles. Journal of Climate (under revision).