Backend and frontend development on critical manufacturing automation software, involving signal processing, concurrent programming, control systems, and relational database design

Collaborating with engineers across domains to identify how software can improve quality and efficiency at one of the world's largest thermal camera production facilities

Led an undergrad data science project for an experiment investigating genetic causes of Alzheimer's using single-cell gene expression data from an in-vitro experiment

Utilized dimension reduction, clustering, differential analysis, and data visualization techniques to classify cell types and gene ontologies across 80k cells, allowing meaningful comparison of control and experimental groups

Completed an analysis that yielded significant results and presented findings to the Central Coast Data Science Foundation