I am a quantitative scientist with ten years of research experience analyzing and modeling complex biological and pharmacological systems. My experience includes approaches central to model-informed drug development, such as QSP and IVIVE, as well as metabolomic and bioinformatic data analysis. 
 
As a postdoctoral researcher at Stanford University, I study the intersection of bacteriophage and human health, both via large-scale meta-analysis of public gut virome datasets and the development of PK/PD models for phage-based therapeutics. My prior work includes developing a high-throughput platform that identified 45 previously unknown drug-microbiome interactions and collaborating with Genentech to integrate microbiome-derived drug metabolism into IVIVE frameworks. 
 
I am interested in roles in drug development where quantitative analysis and predictive modeling can inform experimental strategy, improve translational predictions, and support therapeutic development.