My research is centered on the investigation of low-concentration metabolites such as γ-aminobutyric acid (GABA) and glutathione (GSH) and the primary imaging technique used to measure them noninvasively in the living human brain, magnetic resonance spectroscopy (MRS). GABA is the chief inhibitory neurotransmitter, while GSH is an important antioxidant and a marker of oxidative stress. Both compounds have been implicated in several neuropsychiatric and neurological disorders. At Weill Cornell Medicine, I focus on improving MRS methodology by optimizing how these metabolites are detected and quantified.

I also have a strong interest in developing software and data processing tools for MRS. I am the lead developer of the open-source, MATLAB-based toolkit Gannet, which allows for batch-processing and quantification of spectral edited MRS data.