I am an applied statistician leveraging biostatistical and ML approaches to dissect molecular mechanisms in neuroscience through integrated multi-omics (genetics, single-cell RNA, proteomics) and clinical data for target identification and patient stratification.

Currently, I am working as a computational scientist at the Stanley Center for Psychiatric Research, 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.