A major research interest involves optimization of the diagnosis of chronic rhinosinusitis (CRS). CRS is a highly prevalent condition resulting in significant personal and financial costs, yet symptom-based diagnosis is notoriously inaccurate, creating the potential for significant antibiotic misuse and delay in diagnosis. Current research projects involve the use of quality of life instruments and brief, in-office smell/taste testing to improve accuracy in the clinical diagnosis of sinusitis.
I am also involved in a research team spanning the VCU Schools of Medicine and Engineering that will use computational fluid dynamics and 3D-printed models to optimize methods for evaluating the deposition of aerosolized medications within the nasal cavity.