Nicholas Mancuso, PhD

Assistant Professor of Population and Public Health Sciences



My research aims to develop novel computational and statistical approaches to understand the genetic etiology of complex diseases. This includes integrating molecular phenotypes (e.g., gene expression, protein abundance) with large-scale genome-wide association studies, characterizing the genetic architecture of complex disease (e.g., rare vs common variation), and quantifying the role of selection in shaping the effect-size distribution for alleles.

Courses Taught

  • Statistical Methods in Human Genetics
  • Statistical Methods in Human Genetics