I am a Translational Systems Biologist and R&D Leader with over 15 years of experience driving precision diagnostics through the integration of multi-omics data, pathogen pangenomics, and genome-scale metabolic modeling. My work centers on applying systems biology and machine learning to deconstruct complex biological networks, build strain-resolved predictive models, and uncover novel vulnerabilities within highly adaptable pathogen populations. I hold a Ph.D. in Chemical Engineering with a focus on Systems Biology from UC San Diego and a B.S.E. in Chemical Engineering from Princeton University. Currently, I serve as the Co-Founder & Chief Technology Officer at Pastor21 AI, Inc., where I lead the architecture of predictive pangenome engines. In this role, I implement advanced AI/ML workflows—such as non-negative matrix factorization, LLMs, and knowledge graphs—to link vast genetic diversity directly to phenotypes for biomarker and target discovery. Previously, I co-founded Palmona Pathogenomics, a startup dedicated to infectious disease surveillance, virulence factor analysis, and diagnostics, which was successfully acquired by Avellino Labs. Throughout my career, I have been passionate about translating high-dimensional pangenomic datasets and in silico systems predictions into actionable insights, bridging the critical gap between computational models and wet-lab experimental validation.