I am an applied statistician focused on developing methods and systematic analysis to dissect molecular mechanisms through a complex integration of omics data with the long-term goal of target identification and patient stratification.

Currently, I am working as a computational scientist at the Broad Institute. I did my postdoctoral research training at Harvard T.H. Chan School of Public Health focusing on phosphoproteomics. I obtained my Ph.D. in statistics from the University of Massachusetts Amherst. During my Ph.D., I interned in the industry at Roche and Novartis. Prior to that, I was a computational scientist for 3.5 years at The Jackson Laboratory and obtained an MS in Bioinformatics.

“An approximate answer to the right problem is worth a good deal more than an exact answer to an approximate problem.” - John Tukey

Specialties: Biostatistics, Multiomics, Machine Learning.