I am currently a Senior Statistician (read: computational biologist) in the lab of Dr. Grace Aldrovandi at UCLA. My research is focused on development and application of computational methods for analysis of metagenomic data. These days, I work extensively on integrative approaches utilizing multi-omics datasets to understand how host-microbe interactions influence human health and development.
I did my Ph.D. in Genomics and Computational Biology at the University of Pennsylvania Perelmann School of Medicine under the mentorship of Drs. Brian Gregory and Li-San Wang. I developed sequencing-based methods to characterize RNA secondary structure and RNA-protein interactions at a genome-wide level. I also developed a novel Markov chain Monte Carlo (MCMC) approach to predict RNA secondary structure from these genome-wide assays.