I recently received my Ph.D. from Dept of Statistics at University of Washington under the supervision of Prof. Matthew Stephens. During my Ph.D. study, I worked on latent variable modeling, mixture model, clustering, statistical computing, machine learning, computational biology and statistical methods for  mass spectrometry and microarray.  I am now a postdoc at UC Berkeley working with Profs Peter Bickel and Haiyan Huang.

Prior to my study in UW, I received my M.S. in statistics from Texas A&M University at College Station in 2000. I worked as a clinical statistician at Eli Lilly and Company in 2000-2001.

Publications

• Q. Li, Q. Xia, T. Wang, M. Meila and M. Hackett (2006). Analysis of the stochastic variation in LTQ single scan mass spectra. Rapid Communications in Mass Spectrometry 20(10), 1551-1557. Download..

• Q. Li, C. Fraley, R.E. Bumgarner, K.Y. Yeung and A.E. Raftery (2005). Donuts, scratches and blanks: robust model-based segmentation of microarray images. Bioinformatics, 21(12), 2875-2882. Download

• Q. Li and M. Meila (2004). Clustering by intersection-merging. Technical report no. 451, Department of Statistics, University of Washington. Submitted. Download.

• Z. Yang, Q. Li, Y. Wang and J. Gui (1999). Comparative investigation on spindle behavior and MPF activity changes during oocyte maturation between gynogenetic and amphimictic crucian carp. Cell Research, 9:145-154. Link.

Scientific Softwares

• Q. Li, C. Fraley and A.E. Raftery, spotSegmentation. An R package to conduct robust image segmentation of microarray images (2005). http://www.r-project.org

Presentations