As a PhD candidate in the Tatonetti Lab, my research focuses on combining biological and clinical data to elucidate mechanisms of adverse drug effects. I have developed a machine learning-based method to effectively combine observational data (e.g., adverse event reporting systems or electronic health records) with protein-protein interaction network analysis to significantly improve drug safety predictions. My goal is to continue integrating these heterogeneous "big data" sets to better understand and predict the adverse effects of drug-drug interactions. 

Before beginning my PhD studies under Dr. Tatonetti, I worked for a year as a research assistant in the lab of Andrew Marks in the Department of Physiology to uncover the structural properties of the ryanodine receptor, a calcium release channel that can be targeted pharmacologically to improve numerous cardiovascular and neurological health outcomes.