Qunhua Li
Email: qunhua.li [ a t ] p s u [ d o t ] e d u
I
recently joined Dept of Statistics at Penn State
University as a tenure-track assistant professor. My new webpage is here.
Research interests
My primary research interests concern developing
statistical methods for uncovering complicated patterns in large and complex data.
I have been developing latent variable models (e.g. finite mixture models,
copula models) and machine learning techniques (e.g. clustering or
classification) to identify and infer scientifically meaningful structures from
high-throughput genomic and proteomic data, such as data generated using next
generation sequencing technology, microarray, and mass spectrometry.
Recently, I have been working on the
reproducibility issues in high-throughput biological experiments. I developed a
statistical method called irreproducible discovery rate (IDR). This
method has been widely used in ENCODE consortium for processing ChIP-seq experiments.
Last Updated Nov 19, 2011