Current Research

Integration of genomic and mass spectrometry derived multi-omic datasets through QTL mapping

My work focuses on optimizing high throughput quantitative mass spectrometry methods to expand the
types of studies for which we can plausibly and affordably collect proteomic, lipidomic, and metabolomic
profiles by maximizing the amount of data we can obtain from one MS acquisition. To do this, I’m
combining novel liquid chromatographic techniques developed in our lab with emerging Data
Independent Acquisition methods that will allow us to quantitatively and reproducibly acquire mass
spectrometry data on lipids and proteins from a sample in a fraction of the time and cost of standard
methods. With this, I hope to expand the types of questions we can ask with a mass spectrometer and
enable studies that rely on large sample sets, like genetic mapping of quantitative trait loci.