At Harvard T.H. Chan School of Public Health, I developed and maintained WebMeV, a browser-accessible tool for visualizing large-scale genomic datasets. I built responsive, accessible workflows for differential expression, clustering, and cohort stratification.
I led full-stack development of SEAHORSE, including frontend architecture, backend API design, and secure AWS deployment. The work enabled exploratory analysis of multi-omic datasets and resulted in authorship on a published research study.
I also developed CIVET, a research application integrating interactive visualizations, REST APIs, and secure authentication. Earlier, at Digital Presence, I developed responsive web applications and implemented custom website features based on client feedback.
