Pneumonia accounts for 14% of deaths among children under the age of five. Diagnosing viral versus bacterial infections is difficult in children, impacting antibiotic treatment effectiveness. In collaboration with the Bhatia Lab, we’re developing breath-based nanosensor diagnostics for childhood pneumonia. Our work focuses on SERS to analyze breath samples and differentiate between infection types. We’re also creating low-cost, compact Raman systems for broader access. A key challenge is designing a gas-capturing cartridge that integrates with SERS, concentrating biomarkers while minimizing background signals. This project aims to improve diagnostics, promote responsible antibiotic use, and combat antibiotic resistance.

I am passionate about using EECS tools to create diagnostics for low-resource areas to make healthcare more widely accessible. I am excited to continue working with the Tadesse and Bhatia labs on their work towards the goal of diagnosing and treating childhood pneumonia. I look forward to learning more about the research process and skills through participating in SuperUROP!