overview
• Assisted comprehensive HCI research on personal health informatics for aging adults using wearable devices, smartphones, voice assistants with data integration, targeting high-impact publications in CHI, CSCW academic conferences and journals.
• Conducted formative interviews, thematic analysis with NVivo, web scraping using Python (BeautifulSoup, Selenium), data preprocessing and statistical analysis, analyzing 500+ hours of qualitative data with 98% reliability and inter-rater agreement.
• Developed scalable web applications for multi-modal health using Python (Pandas, NumPy), D3.js, React, TypeScript, Tableau, and Plotly, processing 90 days of data with 99.7% reliability, generating 100+ dynamic dashboards.
• Architected comprehensive software tools using Django, Flask, FastAPI frameworks with MongoDB, PostgreSQL, SQLite databases, Git version control, code documentation, achieving 95% code coverage in unit tests and integration testing.
• Implemented iOS application prototypes using Swift, SwiftUI, Core Data, integrating machine learning models (scikit-learn, TensorFlow), enabling real-time analysis and predictive modeling of 10,000+ daily sensor data points with edge computing.