Recent Work


Measurement Error and Misclassification

Develop marginal models in accommodating the measurement error and misclassification in the bivariate response models.

Generalized Network Structure Model

Identify graphical structures among covariates in indicating gene regulatory network and incorporate network structure in a bivariate responses model.

Zero-inflated Poisson Models

Address an excess of zero counts in the modeling of count data.

Computing R package

augSIMEX: An C++ integrated R package in implementing augmented SIMEX approach to adjust for measurement and misclassification in covariates.

Text Mining

Analysis sentiment of the text using Twitter data.

Echo State Network

A type of reservoir computer that uses a recurrent neural network with a sparsely connected hidden layer.


Genome-wide assocation studies

Time series data

Copy number variant data

COVID-19 related studies