MHS, Johns Hopkins Bloomberg School of Public Health, 2011
PhD, Johns Hopkins Bloomberg School of Public Health, 2011
I work largely at the intersection of genomics, biostatistics, and computational biology, leveraging large datasets to better understand how genomic signatures associate with human brain development and subsequent dysregulation in mental illness. My research consists of several broad, and often overlapping, domains: 1) developing statistical methodology and corresponding software tools for the spatial analysis of epigenomic and transcriptomic data across the genome, 2) developing and applying computational approaches in genomic data to identify new biological insights in development and aging, and 3) identifying molecular signatures related to causes and consequences of mental disorders in human postmortem brain samples.
Honors and Awards
2013: The James V. Neel Young Investigator Award for Best Platform Presentation, 22nd Annual Conference of the International Genetic Epidemiology Society)
2012: Young Investigator Award, Statistics in Epidemiology Section, American StatisticalAssociation
2011: The Louis I. and Thomas D. Dublin Award for the Advancement of Epidemiology and Biostatistics (Department of Biostatistics and Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health)