Assisting in the engineering of a data pipeline processing healthcare claims from pacific territories. Working to understand nature of health information systems and health information technology to analyze healthcare and medical data. Researching models and phases to ensure they are inline with local and federal standards and rules requirement

Co-led a research initiative using machine learning and statistical methods to answer agricultural questions. Developed a script in R to determine harvest readiness of plants, enhancing agricultural data collection efficiency. Conducted extensive data cleaning and pooling in R to prepare large agricultural datasets for machine learning analysis, ensuring the accuracy and reliability of subsequent research findings. Presented findings at the Summer Undergraduate Research Experience Symposium with a poster presentation, effectively communicating results to a broader scientific audience.

Developed and maintained an active learning model within the field of Human-In-The-Loop Artificial Intelligence. Engineered an evaluator to measure AI-assisted efficiency gains in the human annotation of invasive species of ecology on the Big Island. Utilized data visualization techniques to graphically represent the data from the evaluator. This analysis facilitated a detailed assessment of the model’s influence on user actions.