Conduct quantitative research and data science, including data collection, cleaning, analysis, and visualization. Design interactive dashboards, visual analytics, web applications, APIs, and data products using tools such as R, Python, Shiny, Streamlit, Tableau, and Power BI. Communicate complex evidence to technical and non-technical audiences, support multidisciplinary research teams, apply visual design and accessibility principles, and contribute to AI, statistical modeling, and machine learning projects.