01
Duke AI for Global Health / GHIC
Duke University · research
Cross-case research on AI-enabled innovations in global health.
Work
Research and projects across health, data, and technology.
What the work involves
Most of my work sits between health data and health research. I use R, Python, SQL, and Excel to clean and analyze data, work with evidence around healthcare problems, and understand how data and digital tools can support real-world healthcare decisions and implementation.
Selected work
02
SleepSync — Sleep Health Management Application
Georgia Institute of Technology · coursework · five-person team
A five-person course project connecting sleep data with FHIR-based clinical context.
03
Financial Codebook — AI & Global Health Financing Analysis
Duke University · research
Cleaning, standardizing, and extending an inherited dataset on AI and global-health financing.
Additional work
Tsinghua Public Health Data Research
Tsinghua University · research
Public-health research support involving literature review, data analysis, visualization, and research presentations.
UF Sea Turtle Machine-Learning Project
University of Florida
Machine-learning coursework on fragmented image data, using a shared computing environment.
Ford's Garage Student Consulting Engagement
Ford's Garage · student consulting
Student consulting engagement analyzing historical revenue and operations with social KPI tracking; the team received an Outstanding Team Award.