The Statistical Computing Research Group

We are working on data science from the perspective of statistical computing. We develop methods in machine learning, Monte Carlo, and high performance computing to tackle big data and high-dimensional statistical problems encountered in biomedical science, engineering, and social science. 

Current Research Projects:

• Sparse Deep Learning

• Scalable Bayesian methods

• Large scale networks

• On-line learning

• Phenotype prediction

• Precision medicine

 

Funding:National Science Foundation, National Institutes of Health