I'm currently working at the Lieber Institute for Brain Development, applying statistical models to the developing and aging brain. I am working "integrative" genomics - incorporating sequence variation (SNPs, CNVs) and DNA methylation with gene expression in these samples. I have also processed and analyzed other high-throughput genomics data, in topics like GWAS, expression, and sequencing.Here is sourceable code to identify variably methylated regions (VMRs) from my recent Biostatistics paper.
Here are instructions , sourceable functions and an example analysis script from my recent ChIP-seq AOAS paper with Armin Schwartzman .
Here's my CV.