I am an applied statistician focused on developing biostatistical and machine learning approaches to dissect molecular mechanisms in the therapeutic areas of neuroscience and immunology through integrated analysis of multiomics data (genetics, single-cell RNA, proteomics), 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, Neuroscience & Immunology, Machine Learning, Multiomics.