My research is centered on the investigation of low-concentration metabolites such as γ-aminobutyric acid (GABA) and glutathione (GSH) using magnetic resonance spectroscopy (MRS). GABA is the chief inhibitory neurotransmitter, while GSH is an important antioxidant and a marker of oxidative stress. Both molecules have been implicated in several neuropsychiatric and neurological disorders. At Weill Cornell Medicine, I focus on advancing MRS methodology by optimizing how these metabolites are detected and quantified. I work with labs across the world that are applying MRS and related tools.

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. Additionally, I am involved in international efforts to standardize neuroimaging data and metadata to allow for improved reusability and reproducibility of research.