Welcome to the Wong Lab
We develop methods in multivariate analysis, machine learning, Monte Carlo, differential equations and high performance computing, and apply them to problems in computational biology and personalized medicine.
Current Projects:
 Gene regulatory network inference from perturbed statestates
 Phased genome analysis and applications to medicine
 Isoform reconstruction and inference in RNAseq analysis
 Machine learning via multivariate density estimation
 Scalable architecture and algorithms for big data analysis
Funding: National Science Foundation, National Institutes of Health, Department of Veterans Affairs
